Profile

Applied AI Scientist

Working at the intersection of model design, optimization, and deployment to take research-grade ideas into production.

Abdeljalil Jliouat

Abdeljalil Jliouat

Applied AI Scientist

Bio

Machine learning engineer and AI founder with 10+ years building and scaling production AI across banking, tech startups, and NGOs. I work end to end, from strategy and productization to deployment at scale.

My focus is on GPU-level systems work (CUDA, Triton), language-grounded robotics, brain–computer interfaces, quantum optimization for energy, and the infrastructure to deploy these systems reliably.

Interests

Applied AI, robotics, quantum AI, energy systems, brain–computer interfaces, and compute hardware.

Core stack

Python PyTorch CUDA C++ Triton JAX MuJoCo PennyLane MNE-Python Hugging Face DeepSpeed FlashAttention vLLM Nsight Compute Docker AWS wandb MLflow FastAPI

Academic background

  • Engineering degree in Data Science — ENSAI (2012–2014)
    Focus on efficient architectures for multi-modal learning and large-scale training.
  • Engineering degree in Computer Science and Applied Mathematics — FSTT (2007–2012)
    Focused on optimization, distributed systems, and full-stack software development.