Alexandre M.

Compétences

• Computer Vision5/5
• Python5/5
• PyTorch5/5
• RAG4/5
• Stable Diffusion4/5
• Matlab4/5
• CI/CD4/5
• LLM4/5
• Linux3/5
• Machine Learning5/5
• Deep Learning5/5
• NLP5/5
• C++3/5
• Git5/5
• Linear3/5
• MLOps4/5

Expériences

1. Computer Vision AI Engineer July

   2025 — Present

   ShareID – Identity Verification & Biometrics Engineered and deployed end-to-end production vision pipelines for face verification served with Triton Inference Server , optimizing runtime latency and memory throughput for real-time inference. Cut inference time by 80% (5 s → 1 s) and model size by 75% through knowledge and feature distillation , PyTorch

   • PyTorch
   • Computer Vision

2. Engineer Intern → Associate System Engineer

   Feb 2023 — Sept 2024

   Capgemini Engineering / Stellantis Automated the OTA (over-the-air update) system testing pipeline for the Stellantis Peugeot 3008 launch with Python scripts and a GitHub CI/CD pipeline, replacing manual validation steps. Engineered trajectory planning and LQR control algorithms for autonomous parking in MATLAB/Simulink (pub-

   • Python
   • CI/CD
   • Matlab

3. Machine Learning Intern

   Jun 2022 — Aug 2022

   Luleå University of Technology (Sweden) Developed a deep anomaly detection method (autoencoder + clustering) on 4 years of 10-minute harmonic mea- surements from 4 substations of the Swedish 400 kV grid (co-author, IEEE TIM 2024). Engineered data processing and analysis tooling in Python, MATLAB and C to correlate geomagnetic activity with

   • Python
   • Machine Learning
   • Matlab

4. Specialized Master’s in Artificial Intelligence

   Sept 2024 — Dec 2025

   Télécom Paris Deep Learning, Computer Vision, NLP, Optimization, Probability & Statistics, Time Series

   • Deep Learning
   • NLP
   • Computer Vision

5. Engineering Degree in Electronics

   Sept 2020 — Sept 2023

   ENSEIRB-MATMECA (Bordeaux INP) – Signal Processing, Kalman Filtering, Optimization