Former AI Research Intern @ AXA | Former Research Assistant @ EPFL DLab
Experienced with PyTorch, HuggingFace, LangChain with cutting-edge ML techniques: RL (PPO, DPO, GRPO), transformers, fine-tuning, and agentic AI
Currently working on structured representations for cross-modal retrieval & RL-enhanced LLMs | Seeking PhD opportunities in AI research
Core ML: PyTorch • Scikit-learn
LLM Ecosystem: HuggingFace 🤗 • LangChain 🦜 • LangGraph • LlamaIndex 🦙 • CrewAI
Training & Fine-tuning: PEFT • TRL • LoRA • RLHF • Quantization
Computer Vision: OpenCV • TorchVision
Graph ML: TorchGeometric • NetworkX
LLMs: LlaMA 🦙 • Qwen • Granite • Mistral • BERT • GPT
Vision: ViT • Swin • CLIP • DINOv2 • SAM • YOLO
Multimodal: LLaVA 👁️ • Grounding DINO • BLIP • Flamingo
Generative: GAN • VAE • Diffusion Models • DALL-E
Reinforcement Learning: PPO • DPO • GRPO • Multi-Agent RL
Computer Vision: Object Detection • Segmentation • Scene Understanding
Knowledge Graphs: Scene Graphs • Semantic Graphs • Graph Matching
Security: Adversarial ML • Federated Learning • Privacy-Preserving AI
MLOps: Docker • CI/CD • GitHub Actions • Azure • Model Deployment