Freelancer profile translated to English.
Back to original languageAbout Remi
AI Engineer – Specializing in Computer Vision and Language Models (LLM, RAG, AI Agents)
Looking for an engineer who can design custom, robust, and deployable AI solutions: Computer Vision, LLM, APIs, cloud, edge?
I will support you throughout the entire AI cycle: from proof of concept (POC) to production, including optimization, integration, and deployment.
My key expertise:
- Computer Vision:object detection and tracking, OCR, facial recognition, pose detection, image segmentation, image generation and super-resolution, real-time image or video processing
- LLM & NLP:prompt engineering, RAG (Retrieval Augmented Generation), AI agents, LangChain, LlamaIndex, Mistral, Fine-tuning
- Agents:LangGraph: ReAct, Plan-to-execute, ReWOO, LLM compiler, multi-agent systems, Evaluation and observability with LangFuse, MCP
- Deep Learning / Machine Learning:PyTorch, TensorFlow, CNN, RNN, MLP, Random Forest, XG-Boost
- Deployment:REST API, web interface, cloud integration (GCP, AWS), Docker
- Embedded Systems:edge AI development, microcontrollers, firmware, IoT, real-time architecture
My profile is unique: I combine expertise inmodern AIwith a strong background in **embedded systems**. This allows me to design complete, scalable pipelines, whether in the cloud or on resource-constrained devices.
I am rigorous, responsive, and meticulously document each project step. I prefer long-term engagements where I can commit sustainably, but I remain open to short-term projects with high technical or strategic stakes.
French
Native or bilingual
English
Fluent
Korean
Conversational
Can work on-site
Paris (up to 50km), Chambéry (up to 50km)
Experience
- FreelanceAI projectsApril 2024 - Today (2 years and 4 months)Hands-on AI training with a focus on practical applications. Key topics include Python backend development, Git and Bash scripting, data science, MLOps including dockerization of ML pipelines and cloud deployment of models, Deep learning, Computer vision, LLM engineering and AI agentic.Projects: (2025)1) Brain tumor detection on MRI images using computer vision (Computer vision):Pre-processing on images → U-NET model training → Performance evaluation → Web application2) Hand gesture-based game controller using computer vision (Computer vision):Real-time hand tracking → Gesture recognition → Mouse & keyboard control → Game interaction via gesture mapping3) LLM-based Customer Support Chatbot connected to SQL database (LLM Engineering):Real-time order tracking → Intent classification → Parameter extraction → Answer generation → Web interface4) Financial Document Q&A Assistant with RAG (LLM Engineering):PDF parsing & chunk embedding → RAG pipeline with open-weight model → evaluation with BERTScore F1 ≥ 60 %.5) Multi-Agent Insurance Claim Processing System (Agentic AI / LLM Engineering / Computer Vision):Multi-agent orchestration (declaration, validation, expertise) → Evaluation with dataset and Langfuse observability
- Bero AI Inc.Technical Product ManagerINTERNET OF THINGS (IOT)July 2024 - April 2025 (9 months)Séoul, South KoreaAs the Technical Product Manager for a smart collar integrating AI and sensor tracking, I managed the entire product development cycle.This role, both technical and cross-functional, involved coordinating multidisciplinary teams (hardware, firmware, software, AI) spread across different locations: AI developers and data analysts in Montreal, mobile/backend teams in Vancouver, and industrial partners (ODM/manufacturing) in Seoul.
- StartupComputer Vision EngineerSPORTSMarch 2024 - June 2024 (3 months)Seoul, South KoreaDevelopment of a usable prototype for post-match analysis by players:- Research and implementation of computer vision algorithms for player motion tracking.- Annotation of a custom dataset using CVAT for pose detection model training.- Design of a minimalist MVP to detect key player points and generate initial visual insights.- Collaboration with a tennis coach to define product features.
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Education
- AI CertificationsBlent.AI2025- Linux et Git - Data scientist - Deep learning - MLOps - Computer vision - AWS & Docker - LLM - Agentic AI & Langgraph
- Master's degree in Embedded systemsGrenoble INP ESISAR2021Automation and control theory: - Modeling and controller tuning - Matlab/Simulink - Linear & Nonlinear control : PID, UIO, Kalman filter, Lyapunov, Backstepping, Sliding Mode - Robust & optimal control : H-infinity, MPC Computer Science & Embedded Software: - Programming: C, Python, C++, Java, Matlab, VHDL - Protocols: SPI, I2C, UART, CAN - Networks & APIs: Zigbee, BLE, DECT, WLE, REST, mqtt - OS : Linux, Windows Electronics & Systems: - PCB design: KiCad, routing, EMC - Analog/RF: schematics, antennas, modulation (AM/FM/PM) - Power: AC/DC motors, 3-phase, power electronics - Digital: FPGA, signal processing, STM32, Arduino, Raspberry Pi