Pavlo Lyalyutskyy is a software engineer specializing in machine learning with nine years of experience building production ML and scalable backend systems. He launched Mailchimp’s SMS product and then led global expansion to nine countries while heading teams that delivered GenAI messaging, A/B experimentation, advanced segmentation, and multi-audience support. His work has driven measurable product impact—3,000 AI-assisted marketing messages and major reductions in calibration and processing times in prior roles. He combines deep technical roots (BS/MS in Computer Science from Brown) with hands-on ML engineering, from TensorFlow-powered image pipelines to Bayesian optimization for accelerator tuning. Known for translating research-grade models into reliable services, he also runs customer workshops and shapes product adoption beyond pure engineering. Now at Meta, he continues to focus on shipping robust ML features at scale.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Brown University
Uses Machine Learning to create an interpreter for American Sign Language into English characters in real time.
Contributions:1 push, 1 branch in 1 year 11 months
nlpsignmachine-learningenglishsign-language
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Pavlo Lyalyutskyy - Software Engineer, Machine Learning at Meta