alexandre bayssiere

I’m an MEng student at CentraleSupélec specializing in computer science, Artificial Intelligence, and machine learning, with hands-on experience shipping real products in fast-moving teams. I thrive on turning ambiguity into clear prototypes and production-ready systems.

At Paris Digital Lab, I drove agile prototyping by developing 3 minimum viable products in a 7-week constraint for startups and CentraleSupélec. At Thales, I built a scalable dual-portal web application (Super Admin & User) from scratch using React and TypeScript, coordinating complex state across 15+ views, while designing an organic minimalist UI with Tailwind CSS. I also containerized the full-stack environment (Django REST API, PostgreSQL, Vite) with Docker and Docker-Compose to streamline development and deployment.

Across student and industry projects, I focused on performance, reliability, and secure architectures. I engineered streamlined event logistics for 130 staff and automated 1,600+ QR-code ticket delivery with a real-time responsive web application, cutting page load times by 50%. I also built secure transaction and inventory tracking with Django, React, Firebase Auth, and a real-time NoSQL database—then handled load spikes of 5,000+ concurrent users across 10+ flash-sale events by developing scalable PHP/JS portals with a secure payment gateway (Lydia Pro). Outside of application work, I’ve developed ML and research-oriented projects (classification models, numerical stability via Cholesky decomposition, and a Genetic Algorithm for DNA cyclization), and even implemented a custom OCaml interpreter end-to-end from lexical analysis to runtime evaluation.