Tom Grek is a Senior Staff Software Engineer with 13 years building AI-first products and production ML platforms across startups and enterprises. He combines deep academic roots in electrical engineering and AI with hands-on expertise in Python, PyTorch, Spark and Kubernetes to ship scalable model pipelines that prioritize usability and cost-efficiency. At Bayer he architected a multi-cloud, realtime inference and retraining platform that cut costs by 75% and sped async pipelines 4x while maintaining five-nines reliability. Previously he led Primer’s Engines API to production, productizing cutting-edge NLP models and growing a high-performance team from 0 to scale. A pragmatic hacker and former founder who’s lived on three continents, he bridges research and engineering to turn ambitious ML ideas into reliable, user-focused systems.
13 years of coding experience
14 years of employment as a software developer
Master of Engineering Electrical and Electronics Engineering, Master of Engineering Electrical and Electronics Engineering at Imperial College London
Certificate Deep Learning, Certificate Deep Learning at University of San Francisco
Contributions:73 commits, 4 PRs, 101 pushes in 4 months
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