ai engineering
Python, ML/DL, data processing and production-focused model deployment.
Building reliable AI & .NET systems with measurable impact.

I build AI and software that ships. LLM-powered products, real-time computer-vision systems running in the field today, .NET and Python backends, Flutter mobile apps — and the Docker/CI-CD pipelines that put them all live. I take an idea end to end: design it, build it, run it in production.
Python, ML/DL, data processing and production-focused model deployment.
High-performance, reliable REST/GraphQL services with .NET and FastAPI.
Docker, CI/CD, monitoring—ensuring models are stable and trackable in production.

🟢 A C#/.NET system I built in the defense domain, actively used in the field. Built on camera and device SDK integrations with a multi-module architecture. (Operational details are confidential.)

A “living” AI chat core with personality, persistent memory, a daily routine and shifting moods. Human-like messaging: typing delays, moods, intentional typos.

An AI dream-interpretation mobile app (iOS + Android). Flutter frontend + FastAPI backend; token-based usage with rewarded ads to earn tokens. By YeloraStudio.

How I split this site from a single app into three services — database, API and frontend — and bring them all up with one command.

The browser never sees the backend. I explain the Backend-for-Frontend pattern: keeping the JWT in an httpOnly cookie and talking to the API only from the server.

The old version had a vulnerability. While closing it I rebuilt the site securely: HTML sanitization, bcrypt, httpOnly cookies and security headers.