Freelancer profile translated to English.
Back to original languageAbout Rémi
Your model works perfectly in the lab. In the field, it crashes.
Result: demo in 3 weeks, but the edge can't handle it. No cloud possible (GDPR, latency, offline), and your client expects a functional prototype, not a promise.
I deploy and optimize your AI models on constrained hardware to make them perform in real-world conditions.
Specifically, I deliver:
- An edge AI feasibility audit in 48 hours (which model, which target, which budget)
- Optimization and quantization of your existing model (llama.cpp, ONNX, TFLite)
- C++/Python firmware integration on Raspberry Pi, Jetson Nano
- Zero cloud dependency. Local inference, real-time, GDPR constraints respected
Project examples:
→ YOLOv8 migration from GPU to Jetson Nano with INT8 inference (×3 perf)
→ Private LLM under GDPR compliance with Ollama + fine-tuning
→ Real-time ROS2 agent for autonomous robot with local decision-making
Do you have a hardware and/or governance constraint? Let's talk.
English
Fluent
French
Native or bilingual
Can work on-site
Lyon (up to 50km), Grenoble (up to 50km), Paris (up to 50km), Nice (up to 50km), Toulouse (up to 50km)
Experience
- SynobotixEmbedded & Edge AI EngineerINTERNET OF THINGS (IOT)April 2024 - Today (2 years and 2 months)Lyon, FranceMost embedded systems break as soon as you try to add AI to them. Most AI systems fail as soon as they leave the cloud.I work at the intersection of the two.My expertise covers embedded development and the deployment of LLM agents directly on constrained hardware — without cloud dependency, without your data leaving your infrastructure, without latency incompatible with your real-time constraints.What I bring concretely:
- Local LLM deployment on constrained hardware (llama.cpp, Ollama, ONNX Runtime)
- Embedded development: firmware, RTOS, drivers, sensor integration
- AI agents integrated into ROS2 pipelines
- Benchmarking and model selection for your real hardware constraints
- Managed private LLM instance: your data stays on your infrastructure
For whom:Robotics startups with a critical demo to secure, industrial teams with GDPR or air-gap constraints, technical directors who need embedded and AI skills in the same person - ACTIAEmbedded Systems EngineerTRANSPORTATIONFebruary 2024 - April 2024 (2 months)Toulouse, FranceACTIA is a leading automotive supplier specializing in embedded electronics for transportation. Assignment with an industrial company developing a real-time display system for the Paris metro, deployed 24/7 on embedded Linux targets.What I did:
- C++ development on a project from architecture creation to implementation
- Design and implementation of the real-time passenger information display business logic
- Participation in code reviews, improvement of software quality and maintainability
Results:- Maintainable code designed from the outset to evolve, in a young project requiring solid foundations
- Continuous integration from the creation phase, avoiding technical debt
- Volvo groupEmbedded Systems EngineerAUTOMOBILEOctober 2022 - October 2023 (1 year)Belley, FranceVolvo Group is a world leader in heavy machinery manufacturing. Assignment on an embedded control unit (ECU) for construction machinery, in a constrained real-time environment. Objective: ensure the reliability of the embedded software within a structured industrial framework.What I did:
- Software development on a real-time embedded system (C++)
- Code and system behavior analysis to identify and fix anomalies on target
- Testing, validation, and software integration activities in a V-cycle
- Collaboration in a multidisciplinary team (electronics, system, validation, business)
Results:- Fixes deployed on machines in real conditions, with a direct impact on the reliability of critical systems
- Reduction of anomalies identified during validation thanks to rigorous system analysis
- Controlled integration into a heavy industrial process (quality standards, reviews, milestones)
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Education
- Master of Computer ScienceEpitech2019EPITECH est une école d'ingénierie informatique de référence, pionnière de la pédagogie par projets en France. **Ce que j'en ai retiré :** - 5 ans de formation intensive où j'ai appris à apprendre vite — chaque projet était un nouveau langage, une nouvelle techno, un nouveau problème à résoudre - Une approche pragmatique et opérationnelle : pas de cours magistraux, du code livré, des soutenances, du concret - Des bases solides en programmation système (C, C++) et en conception logicielle, directement applicables aux environnements embarqués contraints - Une capacité d'adaptation qui fait la différence : je peux plonger dans n'importe quelle codebase, n'importe quel écosystème technique, et être productif rapidement **Résultat :** Ça m'a appris à résoudre des problèmes complexes plutôt qu'à suivre des recettes, exactement ce qu'on attend d'un ingénieur embarqué sur le terrain.