About
I build AI and ML that have to work in production
I'm Anesu, a full-stack engineer who builds AI and ML, and I finished a computer science degree at Cleveland State University in 2026. I approach building the way a founder would: start from a real problem in a specific domain, learn that domain properly, then ship the smallest real thing that actually solves it.
Most of what I build sits on the raw Anthropic SDK with no framework in between, because I want to know exactly what the model is doing and what each call costs. I tend to build the whole stack myself: the data and retrieval underneath, the model and agent logic in the middle, and the interface someone actually clicks. Most of what I build I take from idea to production on my own, and it all ships live.
Lately I've been going deeper on the machine learning side: anomaly detection over messy public data, constraint optimization, and tightening retrieval so answers stay grounded in real sources. The part I care about most is where a model stops being a demo and has to hold up under real use.
Based in the US and open to roles across the US and Canada, remote or on site.
