Abdeljalil Jliouat

Abdeljalil Jliouat

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

Can the robot approach without disturbing the scene?

A fixed goal above the object, a full second of holding, and checks on collisions and object movement.

Method
Two controllers, identical initial states across 100 fresh simulated scenes, and checks every 2 milliseconds.
Finding
88/100 successful holds with a collision-aware plan, versus 29/100 with direct control. The 12 cases without an accepted plan count as failures.

Read the study →

Open projects & experiments

Code and experiments in inference, robotics, neural signals and optimization. Each project documents its current scope and limitations.

FlashKernel

CUDA and Triton kernels for attention, activation fusion and cache operations. Explore the implementation, correctness boundaries and GPU validation requirements.

CUDA C++ Triton Nsight Compute
Explore FlashKernel →

RoboLLM

A MuJoCo prototype tested on fixed-goal reaching and one-second holds, with collision checks, complete traces and reproducible controller comparisons.

MuJoCo Scripted baselines SAC
Explore RoboLLM →

NeuroLLM

An EEG transformer prototype for masked reconstruction and motor-imagery classification, with data separation and evaluation as the current priorities.

PyTorch NumPy/SciPy EEG
Explore NeuroLLM →

QuantumGrid

Synthetic unit-commitment experiments using QUBO, QAOA, VQE and classical solvers. Explore the formulation and requirements for a fair comparison.

PennyLane QAOA/VQE OR-Tools
Explore QuantumGrid →

Experience

Leading applied ML and AI systems across finance, banking, startups, and NGOs.

Full background →

Have a technical problem in mind?

Tell me what you’re building, where it gets difficult and the constraints that matter.