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Noa Smoter

MSc Student in Computer Science @ EPITECH
AI & Algorithms Researcher | System Programming Enthusiast

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About

Passionate about the intersection of Artificial Intelligence and System Programming. I focus on building high-performance engines, exploring quantum computing, and designing efficient algorithms.

Currently working on Reinforcement Learning and Computer Vision with a strong emphasis on optimization and mathematical rigor.

  • Current Focus: Quantum Neural Networks at POC Innovation
  • Interests: Rust ecosystem, Graph Theory, Distributed Systems
  • Objective: Research Internship in AI/Algo (China/Europe 2026)

Technical Stack

Domain Technologies
Artificial Intelligence PyTorch TensorFlow Scikit-Learn Qiskit
System & Algorithms Rust C++ Haskell C
Tools Linux Docker LaTeX Git

Featured Projects

Stack: Rust, Minimax, Alpha-Beta Pruning, Bitboards

A high-performance AI engine for the Gomoku strategy game. Reached grandmaster level through heavily optimized search algorithms and custom heuristics.

Stack: Haskell, Assembly, Virtual Machine

A functional programming language compiler (Lisp-like) built from scratch. Includes a custom stack-based Virtual Machine for execution and memory management.

FastQuantum (Research)

Stack: Python, Qiskit, PyTorch, GNN

Research project on converging AI and Quantum Computing to optimize quantum circuit compilation using Graph Neural Networks.



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✨ Ce README est vivant – il évolue au fil de mes projets et expériences.

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