Roman Ralovets is a software development engineer with 11 years of experience, currently advancing LLM training and prompt engineering for Alexa at Amazon. He blends a strong applied mathematics background as a PhD candidate with hands-on machine learning and data infrastructure expertise, having built ML systems for messaging platforms, ad-tech prediction models, and large-scale services. Roman has a track record of shipping production-ready tooling that bridges research and engineering—designing ML infra and prompt tooling that enable scalable LLM experimentation. Based in Seattle, he brings both startup agility and enterprise-grade execution to AI projects, with a subtle strength in translating mathematical rigor into robust, deployable systems.
11 years of coding experience
11 years of employment as a software developer
PhD candidate, Applied Mathematics, PhD candidate, Applied Mathematics at Saint Petersburg State University
Contributions:193 commits, 4 PRs, 176 pushes in 1 year
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