Umair Ali

I've worked with Revelo, Scale AI, Alignerr, and Turing to improve how AI models generate, reason about, and review production-quality code.

At Revelo, I evaluate CodeGen reasoning and final code, analyze multi-turn interactions, and simulate real open-source pull-request workflows across repositories with 200+ stars. I review generated diffs for correctness, test coverage, code quality, and project conventions, then write rubrics and annotation guidance that reinforce stronger engineering behavior.

At Scale AI and Alignerr, I created verified competitive-programming solutions, benchmarked LLM outputs across Java, Python, and C++, and performed RLHF ranking, error analysis, SFT dataset creation, and prompt design for difficult reasoning tasks.

Alongside AI training, I've built scalable Python backends at Turing using FastAPI, Flask, REST APIs, databases, cloud deployments, CI/CD, asynchronous programming, and caching. I'm comfortable working independently in remote, deadline-driven environments.