Full-stack engineer trained at the systems level — building secure, scalable software from UNIX shells to production APIs.
I'm a full-stack developer and current 1337 Coding School (UM6P) student, trained through a rigorous peer-to-peer curriculum in systems programming, algorithms, and autonomous engineering — the same discipline that shapes how I write production code.
My work spans secure, scalable applications, from real-time clinical systems to concurrent streaming infrastructure. I care about what happens underneath the interface: memory, protocols, authentication, the parts that fail quietly if you don't respect them.
Currently exploring the intersection of AI and cybersecurity, and looking for a junior developer or internship role where precision matters as much as speed.
An AI-driven clinical documentation system built as a TypeScript monorepo. Speech-to-text securely captures doctor-patient conversations and turns them into structured medical records in real time.
A high-performance torrent streaming platform. Custom streaming logic plays media before the file finishes downloading, backed by Go's concurrency model and a lightweight Svelte UI.
An adaptive learning platform that personalizes tutoring using AI. Data pipelines track student progress and adjust content delivery based on historical performance.
Foundational systems engineered under strict memory and performance constraints — a custom UNIX shell, a fully RFC-compliant IRC server, and optimized 3D graphics engines.
Peer-to-peer learning environment focused on systems programming, algorithmic challenges, and autonomous software engineering projects.
Foundational years before moving into software — a different kind of systems thinking.
Open to junior developer and internship roles. Reach out — I usually reply within a day.