FORECASTING SYSTEMS.SHIPPED PRODUCTS, AND APPLIED CRYPTOGRAPHY ON THE SIDE.

My pathway in technology is anchored in quantitative rigor and hands-on craftsmanship. From topping the wilaya at the Baccalaureate (18.28/20) to entering Algeria's premier National Higher School of Artificial Intelligence (ENSIA), I have consistently pursued challenges at the frontier of machine learning and software engineering.

Rather than treating machine learning as isolated notebooks, I specialize in the full lifecycle: robust data extraction, statistical feature engineering, gradient-boosting ensembles (LightGBM, CatBoost, XGBoost), calibration, and deploying models into real-world production constraints — from cloud backends to resource-constrained edge devices such as Raspberry Pi.

At ENSIA, our curriculum demands mastery across computational linear algebra, discrete mathematics, stochastic processes, and advanced algorithmic design. This intense training enables me to dissect foundational papers, reason about convergence properties, and build custom mathematical formulations rather than blindly applying black-box APIs.

Beyond coursework, I founded ENSIApedia in 2024 to consolidate peer-reviewed study materials, past examinations, and collaborative engineering documentation, directly benefiting hundreds of fellow engineering undergraduates.

High-impact systems require effective teams. As Vice President of the Business & Entrepreneurship Club (2025–2026), following my tenure as HR Manager (2024–2025), I structured cross-functional initiatives, mentored younger students, and coordinated large-scale events.

In competitive hackathons (FORSA, GDG AI Fest), I have repeatedly led technical pods under strict 24–48 hour deadlines, aligning data pipelines with tangible product deliverables to secure podium finishes.