AI and ML projects worth building

A decoder-only transformer you wrote yourself, trained on text you chose, generating new text — no framework magic, about 300 lines.

AI Engineer · ML Engineer · Research

A question answering system over documents you supply, which answers only from the text it retrieved, cites the chunk behind every sentence, and declines when nothing good came back.

AI Engineer

An agent written as a plain loop you own — no framework — that calls tools, survives them failing, knows when to stop, and leaves a transcript you can read afterwards.

AI Engineer

A dataset built from real traces, graders checked against human labels, a runner that scores a change, and a CI job that turns a pull request red when quality drops.

AI Engineer · ML Engineer

A small open model adapted with LoRA to a task you define, measured against the two honest baselines — the base model, and the base model with a good prompt — and an adapter you serve.

ML Engineer · AI Engineer

One classical supervised model carried through the whole lifecycle — messy table, honest split, defended metric, tuned model, served endpoint, drift monitor — with no deep learning anywhere.

ML Engineer

A model behind an HTTP API that you have measured honestly, then made faster with batching, caching and quantization — with the numbers for what each one bought.

ML Engineer · AI Engineer