CS Student · AI & Backend Developer · Game Dev · UI/UX Designer
Building things that actually work — from ML models to pixel art games
I'm a Computer Science student at ESI-SBA with a broad builder's mindset. I work across the full stack — from training ML models and building APIs, to designing UIs in Figma and making games in Love2D. I participate actively in hackathons and love turning ideas into shipped products.
- Focused on AI/ML, backend development, and MLOps
- Indie game developer using Lua + Love2D with pixel art in Aseprite
- UI/UX designer with Figma
- Based in Algeria
AI & Data
Backend
Frontend
Game Dev & Design
1st place at MobAI'26 hackathon. Full AI system forecasting demand for 1,129 SKUs and optimizing warehouse storage + picking routes. Built with XGBoost, Prophet, and FastAPI. Deployed on Azure with 12 API endpoints.
PythonXGBoostProphetFastAPIAzureMLOps
Kaggle competition entry achieving Val Dice 0.9814 and Val IoU 0.9641 on a boundary-heavy segmentation task. The competition scores 80% on boundary precision — making standard segmentation approaches insufficient. Built a custom boundary-aware loss (BCE + Dice + Gradient + Sobel), trained a U-Net with EfficientNet-B3 encoder at 512×640px, and applied TTA + threshold optimization using the actual competition metric. Converged in ~1 hour on a T4 GPU.
PyTorchU-NetEfficientNetComputer VisionKaggle
MLOps project using Isolation Forest to detect at-risk students. Includes experiment tracking with W&B, model versioning, CI/CD with GitHub Actions, and a Flask REST API for real-time predictions.
Pythonscikit-learnFlaskW&BGitHub ActionsMLOps
A full-stack productivity web app with a 7-day calendar view, color-coded commitments, priority tracking, and Supabase backend. Also packaged as a desktop app with Electron. Live at v0-life-style.vercel.app.
ReactTailwindSupabaseViteElectronVercel
🥈Binary X-ray classification using two independent deep learning strategies, both trained on the same dataset and submitted to the Kaggle leaderboard this one ranked second in the datathoon .
"Ship it, learn from it, improve it."