Applied AI engineer specializing in LLMs, AI agents, and production-grade AI systems. I build scalable conversational AI platforms using LangGraph, RAG pipelines, and real-time voice systems. Background in reinforcement learning, computer vision (Edge AI), and distributed computing.
Education
M2 Algorithmique et Modélisation à l'Interface des Sciences
Université Paris-Saclay | 2022 – 2023
Reinforcement Learning, Optimization, J2EE
Ingénieur / Master en Informatique
Ecole Nationale Supérieure d'Informatique - ESI | 2017 – 2022
Engineering, Deep Learning, Data Analysis
Experience
LLM Research Engineer
Laboratoire d'Informatique de Grenoble | 2024 – Present
Development of LLMs in various domains, conversational agents, confidential patent contribution.
LangChain, LoRA, OVH, Qdrant, PostgreSQL, CopilotKit
Data Scientist
Assystem | 2023
Implementation of multi-level information extraction from CVs.
Document AI, Generative AI, LayoutLM, BERT
Edge AI Research Engineer
LAMIH CNRS | 2022
Optimization of lane detection algorithms for autonomous vehicles.
Self-driving cars, Edge and Cloud computing
Skills
Languages
R, Python, JavaScript, Java, C, C++
AI Frameworks
PyTorch, TensorFlow, MMCV, Pandas, NumPy, Scikit-learn, Keras, WandB, OpenCV
LLM & Agents
Hugging Face, LangChain, LangGraph, Unsloth AI, Ollama, Qdrant, pgvector, CopilotKit, PEFT, Accelerate
Development
FastAPI, Flask, TorchServe, Docker, Git, Redis, Next.js, MinIO
Database
PostgreSQL, Redis, MongoDB, SQLite
Cloud & Systems
AWS, OVH, Scaleway, Coolify, Linux, Bash
Contact
Let's work together
farouk@zelinqa.fr