@hayderuser
I build high-performance AI systems for deep learning, reinforcement learning, and scientific computing.
TunisiaAt InstaDeep, I re-architected the InstaGeo PyTorch pipeline in JAX/Flax to deliver a 300× inference speedup and stronger multi-GPU scaling. I also build scalable BioAI deployment workflows, reinforcement learning agents, power-system models, and autonomous QA agents.
I've worked across JAX, distributed GPU/TPU training, and scientific computing, including authoring Dualpy, a pure-Python automatic differentiation library. I also teach graduate reinforcement learning, covering PPO and TRPO.
Work history, roles, and key accomplishments
National Engineering School of Tunis
Dec 2024 - Present (1 year 8 months)
Designed and delivered advanced lectures on Reinforcement Learning fundamentals and policy optimization algorithms for graduate students.
InstaDeep
Sep 2022 - Present (3 years 11 months)
Re-architected PyTorch pipeline in JAX/Flax achieving 300x inference speedup. Developed RL agents and deployed scalable BioAI and geospatial solutions.
InstaDeep
Feb 2022 - Jul 2022 (5 months)
Built a custom OpenAI Gym environment and trained a PPO agent with JAX/Haiku for online 3D packing challenges.
Degrees, certifications, and relevant coursework
Engineering Degree, Systems Engineering
Engineering Degree in Systems Engineering (M.Sc. / M.Eng. Equivalent).
Pre-Engineering Studies, Physics & Technology
Pre-Engineering Studies in Physics & Technology (PT).
Software and tools used professionally
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