FlashKernel
Custom CUDA C++ and Triton kernels for transformer inference — tiled FlashAttention, fused GeLU, RoPE, paged KV-cache — benchmarked with Nsight Compute on T4.
View details →AI systems engineering
Deep systems across LLM, robotics, quantum AI, and GPU compute
Building reproducible, benchmarked projects at the intersection of large language models, robotic manipulation, brain–computer interfaces, quantum optimization, and energy systems.
Focus areas
Building at the intersection of six domains.
Large language models
CUDA / GPU compute
Robotic manipulation
Reinforcement learning
Brain–computer interfaces
Quantum AI
Energy systems
Transformer architectures
MLOps & deployment
Flagship projects
Deep, reproducible systems at the intersection of LLM, robotics, quantum AI, BCI, and GPU compute.
RoboLLM
Language-grounded robotic manipulation — VLM planner decomposes instructions into sub-tasks, RL policies execute each step in MuJoCo simulation.
View details →NeuroLLM
Foundation model for neural signal decoding — pre-train a transformer on large-scale EEG, fine-tune for motor imagery BCI with frequency-band attention.
View details →QuantumGrid
Quantum-classical hybrid optimization for energy grids — QAOA and VQE applied to unit commitment on real ENTSO-E data, benchmarked against MILP solvers.
View details →Experience
Leading applied ML and AI systems in startups, NGOs, and banking.
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Chief AI Scientist, AKIOUD AI, Paris
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Lead Data Scientist, Merci Jack, Paris
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Lead Data Scientist, Société Générale, Paris
Contact
Available for collaborations, advisory work, and technical leadership roles.