Stanislav Levental
Staff AI Engineer at Normal Computing
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolStanislav 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.
11 years of coding experience
15 years of employment as a software developer
Machine Learning NLP AI Computer vision, Machine Learning NLP AI Computer vision at CourseraIgor Sikorsky Kyiv Polytechnic Institute
English
Stackoverflow
2,195reputation
445kreached
71answers
5questions
java
top-5%
Github Skills (118)
interoperability10
python10
mxnet10
deep-learning10
ecosystem10
onnx10
hardware-acceleration10
ml10
neural-network10
golang10
container10
deploying10
data-science10
tensorflow10
amazon10
Programming languages (10)
Github contributions (5)
slevental/lm
Dec 2014 - Mar 2017
Contributions:13 commits, 9 pushes in 2 years 3 months
slevental/operational-transformation
Jan 2016 - Sep 2018
java library for operational transformational in WYSWYG editors
Contributions:28 commits, 2 PRs, 27 pushes in 2 years 8 months
java-librarywyswygoperationaljavaeditors
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