Stanislav Levental is a Staff AI Engineer based in New York with 11 years building production-grade AI/ML systems across startups and scale-ups. He led on-device ML and intelligence teams at Grammarly for several years before joining Normal Computing to apply cutting-edge models to product problems. His background spans web-scale data infrastructure, NER and search relevance from prior roles at aiHit and Luxoft, giving him deep experience in both research-driven ML and robust operational engineering. Known for translating complex ML research into deployable, user-facing features, he pairs hands-on engineering with team leadership and a practical focus on reliability and privacy-sensitive on-device solutions.
Contributions:51 commits, 49 pushes, 1 branch in 9 months
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