Sergei Chudov is a Lead Software Engineer with 8 years of hands-on experience building backend systems, distributed architectures, and production-grade DevOps workflows, currently driving reliability and delivery at BostonGene. He specializes in Python, Kubernetes, microservices and scalable data pipelines, and has moved bioinformatics algorithms into production while maintaining Airflow and custom services. Sergei has a knack for pragmatic rescue engineering—he once preserved two weeks of team work by scripting a recovery for a key database—and rapidly delivered a production-ready library and small domain-specific language in four days. An active open-source contributor (ruff, aio-pika, chat-langchain) with experience in security systems and performance optimization, he blends deep engineering with better-than-average product sense. Based in Yerevan, he is improving his English and open to relocation or remote opportunities.
8 years of coding experience
5 years of employment as a software developer
Introduction to Machine Learning, Introduction to Machine Learning at Coursera
Innopolis University
Bachelor of Engineering - BE, Design and Technology of Electronic Facilities, 4.6, Bachelor of Engineering - BE, Design and Technology of Electronic Facilities, 4.6 at Ural State Technical University
Contributions:8 reviews, 11 PRs, 17 pushes in 7 months
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