MASTER PROFILE – JOAQUÍN BRAULIO GONZÁLEZ JIMÉNEZ
(Consolidated Version – All Unique Information Integrated)

Personal Information
Full Name: Joaquín Braulio González Jiménez
Date of Birth: 29 July 1981 (29/07/1981)
Nationality: Spanish
Primary Address: Rue des Coopératives 9, 1217 Meyrin, Genève, Switzerland (CERN office)
Contact:

Mobile: +34 655 664 300

Email: Joaquin@Gonzalez.team

\href{https://www.linkedin.com/in/joaquinbgonzalez0}{LinkedIn}

Education & Certifications
Universidad de Sevilla

BSc in Telecommunication and Electronic Engineering

MSc in Telematics

Specializations: Telemátics & Automation, Electronics, Communication Networks, Low-Level Programming, Prototyping, Communication Protocols, System Architecture.

MSc Thesis: Designed a high-performance control system for a tunable laser using low-cost FPGA (TMBragg 3), leading to patented designs commercialized by Temai Ingenieros S.L.

other minor courses or certifications relevants for the job:

Certified Project Manager Professional by the Project Management Institute (PMI-PMP)

Certified LabVIEW Associate Developer (CLAD)

Python and Typescript Course (EPFL)

Teamworking Course (Fred Kaufmann)

Driving Licenses: A, B

Professional Experience




LEM International | Senior Innovation Engineer | 7 February 2022 - 1 June 2024
Key Contributions:

DevOps Engineer: Automated workflows for IoT edge devices, integrating AWS cloud solutions.

Board-to-developers liaison: Bridged technical execution with strategic innovation goals.

Serial wired port integration in wireless/mobile communication systems.

Java/JavaScript development for IoT firmware and test frameworks.

Consultancy: Advised product managers on feasibility and market alignment.

Developed IoT firmware for EV charging/smart grids using ESP32 (FreeRTOS/ESP-IDF) and ST MP1 microcontrollers.

Architected Wireless solutions; studied sub-milisecond clock synchronization via Wi-Fi hotspots. Achieved on the limit of the controller, pushed to 35uS

Built automated test frameworks (Python/C) for IoT edge devices.

Managed wireless/mobile communications, power harvesting systems, and cloud integration.

Future Forecasting: Analyzed 3-, 5-, and 10-year R&D horizons for IoT, AI, and sensor trends.

Conducted market studies to align R&D priorities with emerging IoT/AI trends

Advised Global Product Management (GPM) on innovation strategies.

Spearheaded cross-functional teams to deliver innovation projects from ideation to PoC.

Streamlined IoT edge workflows via AWS cloud integration and cost-performance optimization.

Advised product managers on technical feasibility, market alignment, and R&D roadmaps.

Guided junior engineers in Agile workflows, IoT firmware development, and cloud solutions.

Achieved high-precision clock synchronization (35µS) over wifi connections using ESP32 microcontrollers and Wi-Fi hotspots.

Spearheaded Agile (sprints) and Waterfall (phased) methodologies for prototyping and SDLC-driven solutions.

Developed automated testing frameworks (Python/C#) for IoT edge systems, including self-powered sensors and cloud-integrated PMU clock synchronization.

Collaborated on design verification tests (DVT) and traceability matrices for compliance with SDLC phases.

Developed IoT firmware for EV charging/smart grids using ESP32 (FreeRTOS/ESP-IDF) and ST MP1 microcontrollers.

Integrated serial wired ports into wireless/mobile communication systems.

Conducted 3-, 5-, and 10-year R&D horizon analyses for IoT, AI, and sensor trends.

Built automated test frameworks in Python/C# for IoT edge devices.

Prototyped IoT edge solutions using BeagleBone Black with Linux embedded, alongside ESP32/STM32 microcontrollers, to validate low-power, self-supplied sensor systems.





Cogito Instruments SA (Geneva, Switzerland) | AI/Solution Engineering Manager | 27 August 2018 - 31 July 2021
Key Contributions:

Machine vision system based on AI neural network in hardware (propietary prototype developed by myself) for a pick&place robot for automated production lines developed for \href{http://www.sunrock-tech.com}{SunRock Technologies}

Led full SDLC for embedded-to-cloud AI systems (CI-Core1 FPGA platform, DCblue machine vision). \href{https://www.youtube.com/watch?v=COZeOGKKnf0}{DCblue promotional video}

Transitioned company's main product (linked to propietary National Instruments platforms) to FPGA-based hardware-software ecosystems; partnered with SunRock Technologies for commercialization.

Delivered production-grade automated test scripts in C/C++ and C#; integrated Agile workflows into IoT-ready systems.

Customer/partner relationship management: Collaborated with SunRock Technologies (\href{http://www.sunrock-tech.com/}{link}) for DCblue machine vision productization.

DCblue promotional video: \href{https://www.youtube.com/watch?v=COZeOGKKnf0}{YouTube link}.

Scheduled project timelines and resource allocation for Agile workflows.

Machine Vision & AI (edge computing, neural accelerators, predictive maintenance, 100% automated quality inspection).

Deployed AI-driven predictive maintenance models for industrial automation.

Utilized GitLab, Visual Basic, and .NET for firmware and driver development.

Managed resource allocation, vendor partnerships, and hardware procurement.

Developed \href{https://www.youtube.com/watch?v=COZeOGKKnf0}{DCblue machine vision system} for robot guidance, later commercialized by SunRock Technologies.

Collaborated directly with COO (\href{https://wa.me/33652058511}{WhatsApp}) and CEO (\href{https://www.linkedin.com/in/philippe-lambinet-5784967/}{LinkedIn}) during customer visits to assess feasibility and align technical execution with business goals.
Scheduled project timelines and task allocations for Agile workflows, ensuring on-time delivery of FPGA-based neural network hardware.

Integrated Agile (software) and Waterfall (hardware) workflows for AI-driven solutions.

Authored automated test scripts (C/C++, C#) for neural network hardware and conducted risk analyses (pFMEA) for the \href{https://www.youtube.com/watch?v=COZeOGKKnf0}{DCblue machine vision system}.

Led customer validation processes and iterative testing for production-grade solutions.

Collaborated directly with COO (\href{https://wa.me/33652058511}{WhatsApp}) and CEO (\href{https://www.linkedin.com/in/philippe-lambinet-5784967/}{LinkedIn}) during customer feasibility assessments.

Transitioned company products to FPGA-based ecosystems using Agile workflows.





CERN (Geneva, Switzerland) | R&D Electronics Engineer / Expert Technician | 1 July 2015 - 30 June 2018
Team: EP-DT-DD (Detector Technologies), SSD team (Michael Moll); RD50 Collaboration.
Key Contributions:

\href{https://cms.cern/news/new-era-calorimetry}{CMS HGCAL} (High Granularity Calorimeter):
System integration for CMS HGCAL: 

Mechanical design using Autodesk Inventor & Fusion for cooling systems.

Laboratory instrumentation for radiation-hardened sensor characterization.
Designed 50 TB/week data storage pipeline (2.1 Mb/s throughput) with EOS integration; achieved zero downtime during 2017 beam tests despite last-minute specification changes.

Developed LabVIEW control software for ASIC characterization (Skiroc2, Skiroc2_CMS).

Analyzed leakage currents in hexaboard prototypes; optimized assembly procedures in production.

Redesigned cooling systems for edge-TCT setups (Autodesk Inventor).

Current design lead for HGCAL experiment safety subsystems.

High-throughput data storage (8.6 Gb/s), radiation-hardened sensors, supercomputation.

\href{https://ssd-rd.web.cern.ch}{SSD Team } (RD50 Collaboration):

Rewrote LabVIEW DAQ software (RSLandau, TCT+_basic v1.0.4) to parallel architecture (×8 throughput).
Documentation at \href{https://indico.cern.ch/event/642073/contributions/2605220/attachments/1481088/2296719/SSD-Solid_State_Detectors_170622.pdf}{SSD Project PDF}.

Modular LabVIEW programs; PCB/thermal-chunk design (Autodesk Inventor) for irradiated-sensor measurements.

Developed BUT v1.0, parallel producer-consumer software for secure auntomated file copying.

Implemented Laird PR-59 Peltier driver control software for thermal subsystems.

Implemented EMI mitigation strategies, boosting SNR by 23 dB over electromagnietic noise in an already faraday jailed experimental setup.

achieved an 8 times faster performance on measurements for an already optimized experimental setup, just reworking the control software and parallelizing tasks

RPC Fast-Timing Project:

Co-authored JINST paper (2017) on electrostatic compensation in serpentine RPCs (100 ps timing). Tools adopted by USC and LIP-Coimbra.

Cooling & Thermal Control:

Mechanical design (Autodesk Inventor) of Peltier-driven cooling plates; MATLAB simulations and LabVIEW integration.

Collaborations: Tsinghua University, USC (Spain), LIP-Coimbra (Portugal), and 10+ international institutions.

Leadership: Mentored interns and managed cross-disciplinary teams.

IT Architecture: Designed secure Linux/Windows networks (BASH, NFS, Samba) for high-throughput data pipelines.

Scientific Studies: Authored contributions for international conferences, including \href{https://indico.cern.ch/event/642073/contributions/2605220/attachments/1481088/2296719/SSD-Solid_State_Detectors_170622.pdf}{SSD Project PDF}.

Laboratory Instrumentation: Built radiation-hardened sensor characterization setups.

Leadership: Led multidisciplinary teams for the \href{https://ssd-rd.web.cern.ch}{SSD Team} and CMS HGCAL collaborations.

System Integration: Integrated cooling, thermal control, and DAQ systems for experimental setups.

Performed hypothesis testing (Python/MATLAB) for ASIC radiation hardness validation.

Authored technical documentation and test reports for the \href{https://cms.cern/news/new-era-calorimetry}{CMS HGCAL calorimeter}.

Upgraded DAQ infrastructures using Waterfall phases for sensor characterization.

Co-authored JINST paper (2017) on electrostatic compensation in serpentine RPCs (100 ps timing).

Designed 50 TB/week data storage pipeline with EOS integration for CMS HGCAL.

Developed BUT v1.0 software for secure automated file copying.





AICIA (Sevilla, Spain) | R&D Project Engineer / Expert Technician | 1 Aug 2010 – 30 Jun 2015
Key Projects:

TMBragg Series: FPGA-based laser interrogators for FBG sensors (hardware/firmware design, patented solutions).

Subcontracted by external company \href{http://www.temai-ingenieros.com}{Temai Ingenieros} for prototypes development

Projects: TMBragg 1 (PI-0164/2008), PROSAVE2 (PI-0719/2010), Sonar Laser (PI-1292/2014).

PROSAVE2: Structural sonar with fiber optics; achieved -60 dB SNR via LabVIEW/MATLAB algorithms.

SonarLaser Prototype: Market adaptation with master-slave communication protocols.

Tarjeta DAQ sobre FPGA: Redesign project (Architecture, Schematics, hardware, firmware, PCB).

Others: Designed LabVIEW RT systems using National Instruments PXI hardware for precision control in fiber-optic sensor projects

Developed analog, digital, and integrated automatic control systems for laser interrogators and industrial automation

National Instruments PXI integration for LabVIEW RT systems.

Automatic control systems (analog, digital, integrated) for laser interrogators.

Collaboration with Temai Ingenieros: \href{http://www.temai-ingenieros.com}{company link}.

Collaborations: CERN (FBG@nTOF), ESA (REXUS-BEXUS experiments), Airbus.

Leadership: Collaborated under Dr. Francisco Rogelio Palomo to deliver market-oriented solutions.

Signal Integrity: Optimized impedance matching and signal treatment for laser interrogators.

ADC/DAC: Designed analog/digital control systems for fiber-optic sensors.

AutoCAD: Engineered mechanical components for FBG interrogators.

Research: Conducted fundamental research on tunable lasers, contributing to patented TMBragg designs.

Executed Agile prototyping and Waterfall documentation for FPGA-based laser control systems.

Validated ADC/DAC performance and signal integrity for patented \href{http://www.temai-ingenieros.com}{TMBragg interrogators}.





Universidad de Sevilla (Spain) | Computer Systems Engineer / SysAdmin | 16 Oct 2008 – 30 Jun 2015
Department: Aerospace Engineering and Fluid Mechanics, Engineering School of Sevilla.
Key Contributions:

Administered Linux server clusters (CentOS/Ubuntu) for supercomputing; redesigned private networks.

Implemented firewall policies and cybersecurity protocols.

Automated workflows via Java/Bash scripts; managed SDLC-aligned backup/print services.

Led IT infrastructure for the Fluid Mechanics research group (http://grupo.us.es/gimfus).

WinServer Administration: Automated workflows via PowerShell scripting.

VMWare: Virtualized supercomputing clusters for fluid dynamics simulations.

Customer Service: Provided L1–L3 user support and cybersecurity training.

Maintenance protocols for supercomputing clusters and user-facing services.

Automated server workflows via Java/BASH scripting and deployed SDLC-aligned IT solutions (backup/printing services).

Recommendation Letters:

Dr. Antonio Fernandez García-Navas (Head of Aerospace Engineering Dept.): Highlighted leadership in IT infrastructure.

Dr. José Manuel Gordillo (Fluid Mechanics Professor): Praised problem-solving skills.

Volunteering: Managed the Superior School of Engineering culture club and organized recreational events.

Freelance & Early Career
Freelance Network Installer | Apr 2004–Jul 2010: Designed/maintained computer networks.

Deputy Commercial Director (Tecnisol/Eires) | 1999–2001: Managed door-to-door TV sales teams.

Technical Skills
Programming & Tools:

Expert: C/C++, LabVIEW (CLAD), C#/.NET.

Advanced: Python, JavaScript, Bash.

Others: VHDL, PHP, HTML/CSS, MySQL, MATLAB, Java.

Frameworks: Git/SVN/GitLab, VMware, Altium, Autodesk Inventor/Fusion, AWS Cloud, Visual Studio/Core, PXI, ESP-IDF.

Hardware/Embedded Systems:

Microcontrollers (ESP32, ST MP1, MicroBlaze), FPGA-ARM co-design, PCB design (Altium), DAQ systems, sensor characterization.

Specialized: RTOS (FreeRTOS/ESP-IDF), ARM/Zynq, IoT/edge pipelines, radiation-hard sensors.

Methodologies:

Agile lifecycle management, hardware-software co-design, SDLC compliance, prototyping-to-production.

Publications & Conferences
Publication: Co-authored JINST paper (2017) on electrostatic compensation in RPCs.

Conferences: RD50 workshops, FAST Congress (Ljubljana), Photodetector Conference (Elba), Calor18 (Oregon, USA), REXUS-BEXUS (ESA 2009).

Additional Information
Patents: Contributed to patented solutions from MSc thesis (TMBragg 3, AICIA).

Collaborations: ESA, Airbus, SunRock Technologies, Tsinghua University, USC, LIP-Coimbra.

Volunteering: Organized youth cultural events and university clubs.

Strengths: Bridging technical-commercial gaps, rapid technology adoption, cost-performance optimization.

Languages:

Spanish (Native, C2)

English (Professional, C1)

French (Elementary, A2/B1)




/*****************************************************************************/
Expanded information about Work Experience at AICIA

Position: Expert Technician
Duration: 16 Oct 2008 – 30 Jun 2015
Location: AICIA, Sevilla (Spain)




Began engineering work prior to completing university studies, subcontracted by Temai Ingenieros S.L., contributing to four R&D projects that advanced state-of-the-art technologies in fiber optics and laser systems. Collaborated under Dr. Francisco Rogelio Palomo to design prototypes, redefine FBG interrogator capabilities, and deliver market-oriented solutions.

Projects Undertaken
Interrogador de redes de Bragg basado en láser sintonizable bajo FPGA (TMBragg 1)

Reference: PI-0164/2008 (2008)

Roles:

Laboratory Technician

Software Developer (C#, C++, Xilinx Suite XPS)

Firmware Developer (C#, Altium PCAD)

Application programming for FPGA-based tunable laser controller

Start-up of FPGA controller-based laser interrogator system

Achievements:

Modified analog parts of existing prototype to create a functional tech demonstrator.

Prototype, Hardware, and Software Analysis of Laser Interrogator (TMBragg 2)

Roles:

Laboratory Technician

Hardware Developer (Altium PCAD)

Firmware Developer (C#, VHDL, Xilinx SDK)

Hardware and algorithmic optimization

Prototyping, development, and testing

High-Performance Laser Interrogator Based on Low-Cost FPGA (TMBragg 3)

MSc Thesis Project:

Designed a high-performance control system for a state-of-the-art tunable laser using low-cost FPGA.

Roles:

Project Management

Software Development (C#, C++)

Firmware Development (C#, Altium PCAD/Designer, VHDL)

Hardware Development (VHDL, Xilinx XPS)

Prototype development and programming of FPGA-based laser interrogation system

Design of high-performance data acquisition systems

Achievements:

Demonstrated technological feasibility through a functional prototype.

Patented design by Temai Ingenieros S.L., still commercialized in the market.

PROSAVE2: Structural Sonar with Fiber Optic Sensors for Aeroestructures

Reference: PI-0719/2010 (2010–2013)

Roles:

Laboratory Technician

Scientific/Simulation Designer

Software Developer (LabVIEW, MATLAB, AutoCAD, C#)

Hardware and Prototyping Designer

Project/Supplier Management

Researcher

Achievements:

Triangulated positions of 5N magnets in aluminum flanges using low SNR signals.

Designed a hybrid ultrasonic-FBG system for structural health monitoring (SHM).

Optimized signal integrity and EMI through impedance matching studies.

Sonar Laser: Market Adaptation of Structural Sonar Prototype

Reference: PI-1292/2014 (2014)

Roles:

Laboratory Technician

Software/Firmware Developer

Electronics/Hardware Designer

Project/Supplier Management

Researcher

Achievements:

Designed a master-slave communication protocol and ad-hoc libraries (LabVIEW for master, C# for slave).

Adapted research prototypes into market-ready products.

General Responsibilities & Technologies
Key Contributions:

Redefined the state-of-the-art of tunable laser-based FBG interrogators through iterative prototyping.

Delivered two advanced prototypes and a technology demonstrator for acousto-optic delamination detection in carbon fiber structures.

Technical Skills:

Electronics: Xilinx FPGAs, analog/digital control systems, impedance matching, signal integrity.

Programming: C, C#, Java, LabVIEW 7–2014, VHDL, MATLAB, SQL, PHP, HTML/CSS.

CAD Tools: Altium Designer, AutoCAD, Autodesk Inventor.

Instrumentation: Fiber Bragg Grating (FBG) sensors, ultrasonic emitters, 3D diodes.

Project Management:

Led teams, managed suppliers, and coordinated with external partners (e.g., mechanical workshops).

Administered computing clusters for simulations and data processing.

Collaborations & Outcomes
Conducted experiments at CERN (e.g., FBG@nTOF) and presented projects at ESA (ESTEC, Amsterdam).

Collaborated with academic and industrial partners to deliver functional technology demonstrators.

Outcomes included patented designs (TMBragg 3) and market-adapted products (Sonar Laser), with contributions covered under NDAs.








/*****************************************************************************/
Expanded information about Work Experience at Universidad de Sevilla 

Position: System engineer / IT Responsible
Duration: 1 Aug 2010 – 30 Jun 2015
Location: Universidad de Sevilla , Sevilla (Spain)


Department: Aerospace Engineering and Fluid Mechanics, Engineering School of Sevilla

Key Responsibilities & Achievements:
System Administration & Network Management:

Administered a private network and server farm, including cluster administration for numerical simulations.

Redesigned and upgraded the internal private network, purchasing and setting up new servers and clusters.

Established network policies and firewall rules for enhanced security.

Acted as a consultant for hardware procurement, software debugging for parallelization, and user support.

IT Infrastructure Development:

Designed, developed, and launched new ad-hoc services, including backup solutions and printing systems.

Managed software systems, server maintenance, and computer security protocols.

Supervised supercomputing environments and simulation tools.

Collaboration & Research Support:

Supported the Fluid Mechanics research group (http://grupo.us.es/gimfus) as the IT Division lead.

Provided creative technical solutions for supercomputing, CAD, and simulation tasks.

Collaborated on projects requiring high-performance computing for aerospace engineering applications.

Projects & Tools:
Supercomputing & CAD:

Managed software for fluid dynamics simulations and mechanical design.

Worked with Linux-based systems (Fedora, CentOS, SLC), Windows (3.11 to 10), and macOS.

Utilized tools like MATLAB, AutoCAD, and for engineering simulations.

Network & Security:

Implemented teleworking tools and supercomputation systems.

Administered servers running Red Hat, CentOS, and Ubuntu.

Skills Highlight:
Technical Expertise:

Advanced in network administration, server clusters, and cybersecurity.

Proficient in Linux/Unix, Windows, and macOS environments.

Experienced in parallel computing, hardware troubleshooting, and software optimization.

Programming & Tools:

Languages: C/C++, Java, SQL, MATLAB, Bash, PHP, JavaScript.

Tools:  AutoCAD, Altium Designer, Xilinx Suite.

Additional Roles & Collaborations:
Teaching & Mentorship:
Mentored undergraduate interns and managed student projects.

Served as a tutor for high school students, enhancing communication and leadership skills.

Cultural & Organizational Roles:
Managed the Superior School of Engineering culture club.

Organized recreational events and collaborated with student offices.

Relevant Documentation (Mentioned in CVs):
Recommendation Letters:

Dr. Antonio Fernandez García-Navas (Head of Aerospace Engineering Dept.) highlighted leadership in IT infrastructure and supercomputing.

Dr. José Manuel Gordillo (Fluid Mechanics Professor) praised problem-solving skills and contributions to research productivity.

Certifications & Training:

Certified LabVIEW Associate Developer (CLAD).

Expertise in Microsoft Office (1997–2016), OpenOffice, and Linux distributions.








/*****************************************************************************/
Aggregated Work Experience at CERN

Position: Expert Technician - Spanish Trainee Program
Duration: 1 July 2015 - 30 June 2018
Location: CERN, Geneva, Switzerland

Team: EP-DT-DD (Detector Technologies group), SSD (Solid State Detector team) under Michael Moll; RD50 collaboration (Radiation-hard semiconductor devices for HL-LHC).
Projects: Split time equally between SSD and CMS HGCAL (High Granularity Calorimeter).

Key Responsibilities & Achievements:
1. CMS HGCAL (High Granularity Calorimeter) Contributions:
Software Development:

Wrote test software (LabVIEW 14) to characterize frontend ASICs (skiroc2, skiroc2_CMS) for dynamic range, crosstalk, linearity, and noise analysis. Software adopted by CMS members.

Designed and implemented a data storage system for beam tests (2017) handling 50TB/week with peak throughput of 8.6 Gb/s. Collaborated with CERN IT/EN departments to establish fiber links to CERN EOS infrastructure.

Addressed last-minute specification changes during beam tests, achieving zero storage-related downtime.

Leakage Current Studies:

Investigated anomalous leakage currents in silicon sensor modules (hexaboards) under controlled temperature/humidity.

Developed a new setup and dedicated software on SSD facilities to study sensor behavior. Results optimized module assembly procedures.

Safety System Design:

Collaborated with HGCAL, EP-CMX, and CERN safety experts to design safety systems for experiments.

2. SSD (Solid State Detector) Team Contributions:
Software Redesign & Optimization:

Rewrote data-taking software from scratch for RSLandau setup (measures silicon detector response to beta particles), implementing fully parallel architecture (first in SSD).

Redesigned TCT+ control software (Transient Current Technique for laser-based charge collection studies), shifting from state machine to master-slave architecture. Achieved 8x speed improvement. Software published as TCT+_basic v1.0.4 and adopted by RD50 collaboration.

Maintained responsibility for software development, setup scheduling, and hardware/software maintenance.

Hardware Development:

Designed and produced a cooling system for edge-TCT setup, including mechanical design of a cooling plate and metallic box (Autodesk Inventor 3D drawings, MATLAB simulations). Collaborated with CERN mechanical workshops (EP-DT-EF).

Developed LabVIEW software for Peliter driver control (Laird PR-59), including libraries and utilities. Embedded into TCT+_basic and other thermal subsystems.

Characterized thermal measurement errors, leading to PCB redesign of sample holders to isolate sensors from common ground and avoid measurement errors.

Dataset Management:

Designed a centralized storage system using CERN EOS infrastructure with cloud access (Web, SFTP, SMB, NFS). Developed BUT v1.0, a parallel producer-consumer software for secure file copying, optimized across hardware configurations.

Electromagnetic Interference (EMI) Mitigation:

Analyzed data acquisition noise, improving SNR by 23 dB in TCT setups through isolation improvements on its previous faraday jail box using EM techniques and waveguide technology.

3. RD50 Collaboration & Other Projects:
SiPM Characterization:

Developed modular LabVIEW programs for SiPM sensor characterization and hexaboard leakage current studies.

Designed PCBs (Altium Designer) and cooling chunks (Autodesk Inventor) for thermal stability. Managed production of all parts.

Presented results at FAST Congress (Ljubljana, Slovenia) and prepared a poster for Photodetector Conference (Elba 2018).

RPC (Resistive Plate Chamber) Development:

Co-authored a paper (Journal of Instrumentation, 2017) on electrostatic compensation methods to suppress modal dispersion in serpentine-configured RPCs. Reduced readout channels by 10x while maintaining coverage.

Simulated strip lines for waveguide behavior and impedance matching. Tools/methods adopted by USC (Spain) and LIP-Coimbra (Portugal) for geometry evaluations.

4. Additional Roles:
Workshops & Conferences:

Participated in RD50 workshops (Geneva: Dec 2015, Dec 2016, Nov 2017; Krakow: Jun 2016).

Presented at international conferences (e.g., Calor18 in Oregon, USA).

Collaborations:

Joined CMS-Sevilla group (July 2017) under Dr. F.R. Palomo.

Collaborated with Tsinghua University, USC, LIP-Coimbra, and 10+ international institutions.

Mentorship:

Mentored interns and managed cross-disciplinary teams.

Technical Skills Utilized:
Software: LabVIEW (v7.11–2016), MATLAB, Altium Designer, Autodesk Inventor/CAD, C/C++, VHDL.

Hardware: FPGA programming (Xilinx), PCB design, thermal systems, EMI analysis.

Systems: CERN EOS, parallel computing, data storage/management (50TB/week).

Certifications: LabVIEW Certified Associate Developer (CLAD).

Key Outcomes:
Delivered mission-critical software/hardware for CMS HGCAL and SSD experiments.

Published peer-reviewed research on RPC optimization.

Improved SNR by 23 dB and data-taking speed by 8x.

Presented at 5+ international conferences and workshops.








/*****************************************************************************/

Aggregated Work Experience at Cogito instruments

Position: Application engineer / Application Engineering Manager
Duration: 27 August 2018 - 31 July 2021
Location: Cogito instruments SA, Geneva, Switzerland

Role Overview
As Solution Engineering Manager, spearheaded end-to-end development of AI-driven industrial applications and hardware systems, aligning technical solutions with market demands. Led cross-functional teams in delivering prototypes and production-ready products while interfacing directly with customers, sales, and C-suite executives.

Key Responsibilities
Full-Cycle Product Development:

Analyzed customer needs to define requirements for prototypes and production systems.

Managed teams in software development (LabVIEW, C#, .NET), hardware design (FPGA-based systems), and prototyping.

Oversaw firmware (ANSI C), driver development, communication protocols, and testing frameworks.

Strategic Leadership:

Collaborated with COO/CEO to assess technical feasibility, estimate resources, and guide client-facing technical discussions.

Trained customers on product use and troubleshooting.

Market Adaptation:

Pivoted from National instruments frame hardware-based AI solutions (using proprietary ML with RBF/KNN) to designing Core1, a modular expandable and standalone hardware platform for scalable neural networks based on standard programming languages and communication protocols

Key Projects & Achievements
Core1 Hardware Platform:

Redesigned architecture to eliminate bottlenecks, enabling faster data analysis and much faster performanc for all applications.

Developed a modular, AI-capable system for image analysis/pattern recognition, featuring:

Proprietary communication protocol and expansion port for custom mezzanine boards.

Certification-ready first prototype meeting all requirements.

Handled hardware architecture, firmware, drivers, prototyping, production, and testbench development.

The project management using agile techniques (new on the company) saved up to 9 weeks of development time, and the whole project reached its beta ready state 5 weeks before the deadline

DCblue Machine Vision Application:

Created a standalone market product for robot guidance (partnered with SunRock Technologies).

Integrated machine vision with Core1, demonstrating its industrial applicability.

Technical Skills & Methodologies
AI/ML: Proprietary RBF/KNN frameworks, neural network optimization.

Hardware: Core1 platform (FPGA design), modular systems, communication protocols (SPI, I2C, USB, Ethernet, custom).

Software: LabVIEW, ANSI C, C#, .NET, embedded systems, windows drivers.

Project Management: Agile prototyping, resource/time estimation, cross-team coordination.

Impact
Transitioned company from national instruments closed frameworks (costed thousands a year for customers) for AI solutions to a scalable and standard hardware-software ecosystem. 

Future framework architecture for integration ecosystem ready to be developped

Delivered certification ready (Core1) and market-ready products (DCblue) while enhancing technical credibility with partners and clients.







/*****************************************************************************/

Aggregated Work Experience at LEM International

Position: Senior Innovation Engineer
Duration: 7 February 2022 - 1 June 2024
Location: LEM International, Meyrin, Geneva, Switzerland

Role Overview
As Senior Innovation Engineer within LEM’s Innoteam, drove forward-looking research to anticipate global societal and customer needs in sensors and metering solutions. Focused on bridging AI, IoT, and smart systems to position LEM as a first-mover in future markets. Managed innovation projects end-to-end, balancing technical execution with business strategy.

Key Responsibilities
Holistic Project Leadership:

Owned four core duties:

Technology Scouting: Identified emerging technologies aligned with market trends.

Project Management: Delivered end-to-end execution from ideation to PoC.

Stakeholder Collaboration: Liaised with product managers and customers to align solutions with business needs.

Technical Development: Led cross-disciplinary teams in prototyping and deployment.

Specialized in high-complexity systems, including:

Ultra-high-accuracy and isolated measurement systems.

Self-powered devices with energy harvesting capabilities.

High accuracy clock synchronization for PMU solutions using Wi-Fi hotspots.

Integrated IoT architectures with wireless/mobile communications and cloud data pipelines.

Future Forecasting:

Analyzed 3-, 5-, and 10-year horizons to identify emerging trends in sensors, IoT, and AI, aligning R&D with future demands.

Advised Global Product Management (GPM) on innovation strategies and technology investments.

IoT & AI Leadership:

Pioneered R&D in low-power smart sensors, wireless communication, encryption, and fleet deployment for IoT ecosystems.

Enhanced machine “smartness” through AI-driven upgrades to improve functionality and data-driven decision-making.

Prototyping & Problem-Solving:

Developed rapid Proofs of Concept (PoCs) and prototypes to validate cutting-edge solutions.

Resolved cross-departmental challenges using automation, AI, and data analytics.

Focus Areas
Smart Sensor Innovation:

Designed ultra-low-power electronics, secure wireless protocols, and scalable IoT architectures.

Optimized sensor networks for industrial and consumer applications.

AI Integration:

Embedded machine learning into metering systems for predictive maintenance and advanced analytics.

Complex System Integration:

Delivered projects combining edge computing, energy harvesting, time-critical synchronization (e.g., PMU), and hybrid wireless-cloud architectures.

Key Contributions
Strategic Impact:

Shaped LEM’s innovation pipeline by identifying high-potential technologies (e.g., edge AI, encrypted IoT networks).

Reduced time-to-market for next-gen products through agile prototyping.

Cross-Functional Collaboration:

Partnered with engineering, product, and executive teams to align R&D with business goals.

Translated complex technical concepts into actionable strategies for non-technical stakeholders.

Technical Expertise
IoT Stack: Wireless protocols (LoRa, BLE, Wi-Fi), embedded systems, energy-efficient design.

AI/ML: Predictive analytics, edge computing, neural networks for sensor data.

Tools: Rapid prototyping tools, data visualization platforms, IoT security frameworks.