About.
Backend & AI Engineer, finishing my MSc in AI. I build the layer where backend meets AI — and write about what breaks along the way.
01 / Story
I started as a backend engineer — APIs, databases, the systems that have to hold up under real traffic. Going deeper into AI, I kept running into the same gap: models that work in a notebook but were never built to survive production.
That gap is where I work now. I'm finishing my MSc in AI to close it properly, not to claim a title I haven't earned yet — I'm a builder first, and I'd rather show the code than the credential.
02 / What I Build
01
Backend engineering
APIs, system design, databases, auth, scaling. The boring parts that keep production running when nobody's watching — I sweat those first.
02
Applied ML/AI
Real project work, not slideware: classification, regression, model evaluation. Code I actually wrote and can walk you through, wins and failures included.
03
AI × Backend — the wedge
Serving models in production, LLM-app backends, inference APIs, RAG pipelines. Most stop at a notebook — I take it past that.
03 / How I Work
No hype, no over-claiming seniority I don't have yet. I ship real code, I show what broke and how I fixed it, and I write it up so someone else can skip the same mistake.