FlashKernel
CUDA and Triton kernels for attention, activation fusion and cache operations. Explore the implementation, correctness boundaries and GPU validation requirements.
Explore FlashKernel →AI engineering · Paris
Founder of AKIOUD AI and Lead AI Engineer at Orange, where I work on agentic applications, RAG and LLMOps for Finance and CFO teams.
A closer look · RoboLLM
A fixed goal above the object, a full second of holding, and checks on collisions and object movement.
Code and experiments in inference, robotics, neural signals and optimization. Each project documents its current scope and limitations.
CUDA and Triton kernels for attention, activation fusion and cache operations. Explore the implementation, correctness boundaries and GPU validation requirements.
Explore FlashKernel →A MuJoCo prototype tested on fixed-goal reaching and one-second holds, with collision checks, complete traces and reproducible controller comparisons.
Explore RoboLLM →An EEG transformer prototype for masked reconstruction and motor-imagery classification, with data separation and evaluation as the current priorities.
Explore NeuroLLM →Synthetic unit-commitment experiments using QUBO, QAOA, VQE and classical solvers. Explore the formulation and requirements for a fair comparison.
Explore QuantumGrid →Leading applied ML and AI systems across finance, banking, startups, and NGOs.
Tell me what you’re building, where it gets difficult and the constraints that matter.