Software engineering student at 42 Nice, focused on MLOps & cloud.
I pair hands-on ML (PyTorch, NumPy, models built from scratch) with a solid systems and infrastructure base: Docker, Linux, and low-level networking in C/C++.
neural_shifumi — Rock-paper-scissors via hand-gesture recognition: a CNN trained from scratch in PyTorch (4 conv blocks + GAP) that classifies a live camera feed.
dslr — One-vs-all logistic regression classifying students into four houses from their grades. Gradient descent, feature normalization, no ML libraries.
ft_linear_regression — Linear regression from scratch: gradient descent, MSE cost, min-max normalization, R² evaluation.
ft_transcendence — Real-time multiplayer Pong with a Q-learning AI opponent trained from scratch, served over WebSocket with server-authoritative game logic.
inception — Three-container Docker Compose stack (NGINX + TLS, WordPress/php-fpm, MariaDB) built from bare Debian images, with persistent volumes and an isolated internal network.
ft_irc — Non-blocking IRC server in C++98, single-threaded with poll() for I/O multiplexing. Channels, operator commands, full RFC 1459 set.
ft_ping — Reimplementation of ping in C using raw sockets and ICMP: packet construction, checksums, and round-trip timing.
minishell — UNIX shell in C: a lexer (linked list of tokens) and a parser that builds a pipe-separated command list, with pipes, redirections, heredoc, and signal handling.
Python · PyTorch · NumPy · Docker · AWS · Linux · C · C++ · Git
Open to a software engineering apprenticeship or internship in MLOps, cloud, or ML engineering. Based in Nice / Sophia-Antipolis, open to relocating to Paris.