Afonso Diela

Bringing Intelligence to the Edge.

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AREAS OF EXPERTISE

  • Embedded Software Development for Real-Time Systems
  • Edge AI & Embedded AI
  • Computer Vision & Perception
  • Machine Learning Optimization for Edge Devices
  • AI Deployment on Edge Hardware (MCUs, tinyML, Jetson, Rasperberry Pi, …)
  • Edge AI Suite: Edge Impulse, Qualcomm AI Hub

TECHNICAL SKILLS

Embedded Systems & IoT

Skill
Peripherals configuration (ADC, I/O, I2C/SPI, CAN)
Real-time implementation & optimization
RTOS: FreeRTOS, VxWorks, Linux Embedded
Embedded Platform: MCUs, Arduino UNO/Nano 33, Raspberry Pi, Jetson Nano
Parallelization & Hardware acceleration (OpenCL, CUDA)
Standards: MISRA, AUTOSAR, ISO26262, J3016, J1939, UDS

AI & Computer Vision

Skill
Image & Video Processing (OpenCV, YOLO, …)
Deep Learning: CNNs, ViTs, GANs, Diffusers
Classification, Object Detection, Segmentation (Semantic, instance)
Robotics: 3D Vision & Sensor Fusion (Camera, LiDAR, RADAR), SLAM, ROS/ROS2
AI Model Deployment (ONNX, LiteRT, AIMET, TensorRT, OpenVINO)
Edge AI Platform (MCUs, Raspberry Pi, Jetson, Qualcomm AI Hub, Edge Impulse)
Cloud: AWS, AWS IoT, GCP, Colab, Edge Impulse, Qualcomm AI Hub
AI Hub/Community: Hugging Face, Kaggle, Github

Programming & Development Tools

Skill
Languages: Assembly, C, C++, Python, Rust, Bash/Batch
AI Frameworks: PyTorch, TensorFlow, Keras
Embedded Dev Tools: VSCode, Cursor, Eclipse
Version Control: Git, SVN, Github
Agile: Kanban, SCRUM, SAFe, CI/CD Pipelines
Debugging & Profiling: UDE (PLS), JTAG, gdb/gprof, Vector Canalyzer/CANoe
Virtualization: VM, Docker, WSL
Simulation: Openai/Gym, CARLA, Udacity Self-Driving Cars

APPLICATION ENVIRONMENTS

  • Autonomous Systems (Robotics, Self-Driving Cars, ADAS, UAVs)
  • Agriculture / Precision Farming
  • Healthcare / Medical Imaging
  • Smart Manufacturing / Industrial IoT
  • Retail
  • Smart Cities

EXPERIENCE

T&S Engineering (Paris, France)

Software Engineer Consultant, Sep 2019 – Present

  • AGCO Corp (Beauvais, France), Jun 2021 – Sep 2022
    • Developed and integrated a wiper control module for next-generation tractors, enhancing operational efficiency.
    • Implemented a telemetry module tailored for the Chinese market, facilitating real-time data acquisition and analysis.
    • Designed diagnostic functions adhering to the UDS standard, improving system reliability and maintainability.
    • Conducted comprehensive testing and validation on machinery, ensuring robustness and compliance with industry standards.
      • Tech Stack: Agriculture, C, HighTec GCC, PXROS, AURIX Tricore (Infineon), CAN, CANoe, UDS, Svn
  • Faurecia (Brières, France), Jun 2020 – Jun 2021
    • Engineered a smart seat system capable of detecting occupant posture using integrated machine learning algorithms.
    • Seamlessly integrated machine learning models into embedded systems, enabling real-time inference on edge devices.
    • Developed APIs for model inference, streamlining the deployment of AI functionalities in automotive applications.
    • Led testing and evaluation processes, ensuring high accuracy and reliability of posture detection systems.
      • Tech Stack: Automotive, safety & comfort, C, Python, Git, Pandas, Scikitlearn, Pickel, Raspberry Pi
  • E2CAD (Eragny, France), Sep 2019 – Jun 2020
    • Spearheaded software development for inverter platforms in collaboration with Renault Group, enhancing electric vehicle performance.
    • Configured I/O and ADC systems for precise signal processing, contributing to improved system responsiveness.
    • Established robust communication protocols between SPI and FPGA, ensuring seamless data exchange and system integration.
    • Conducted rigorous unit testing and validation, guaranteeing software reliability and performance.
      • Tech Stack: Automotive, C, Eclipse-Tasking, Debugger UDE, PCAN, Oscilloscope HAMEG HMO, CANdb++, AURIX Tricore (Infineon), SPC584B (ST), Inverter, BMS

Valeo (Cergy, France)

Software Engineer (Apprentice), Sep 2015 – Sep 2018

  • Automated validation testing for CAN and FlexRay network specifications, reducing testing time.
  • Developed a signal generator to simulate permanent magnet motor positions, facilitating advanced testing scenarios.
  • Authored comprehensive documentation, enhancing knowledge transfer and system maintainability.
    • Tech Stack: Automotive, C, Perl, CAPL, FreeScale MC9S12ZVM (NXP), AURIX Tricore 2G (Infineon), CAN, FlexRay, CANalyzer, BUSMASTER, AUTOSAR, ISO26262, OSEK, electric Super Charger (eSC), Inverter

EDUCATION

  • Electrical Engineering & Industrial Computing (Master’s degree), ENSEA – Cergy, France (2019)
    • Specialized in Embedded Systems
  • Electrical Engineering and Industrial Computing (Bachelor’s degree), Institute of Technology of Cherbourg-Manche (2014)
    • Specialized in Control & Industrial Computing

CERTIFICATIONS (20+)

PROJECTS

  • Real-time Self-Driving Car Behavioral Cloning (OpenCV, Keras, CNN)
    • Built a CNN inspired by NVIDIA’s architecture for steering prediction.
    • Collected data and trained the model on diverse driving scenarios in the Udacity Simulator.
    • Achieved accurate, smooth vehicle navigation in simulation
  • UBUNTU – Autonomous Robot (France Robotics Cup 2014)
    • Designed a fully autonomous robot based on odometry.
    • Ranked 4th place among 26 teams.

For more projects, please visit my Portfolio.

LANGUAGES

  • French: Native
  • English: C1 – Fluent
  • Portuguese: C2.

INTERESTS

  • Ultrarunning, Chess, Guitar improvisation, Reading, Basketball