Andrey Chernykh is a hands-on engineering leader with 18 years of experience building scalable cloud-native, AI-powered platforms and currently serves as VP of Platform Engineering in Frisco, Texas. He has grown and led teams from founding stages to 50+ engineers, driving measurable R&D and product improvements across both mass-market consumer apps and Fortune 500 enterprise software. Technically fluent across backend microservices, MLOps, GenAI/LLMs, Kubernetes, and observability, he repeatedly turns monoliths into resilient microservice ecosystems and ships production ML features such as RAG-based chatbots and bookkeeping autopilots. Notable accomplishments include improving bookkeeping automation accuracy by 32%, saving over $1M annually in cloud costs, and introducing company-wide DevOps and CI/CD practices. He balances strategic leadership with frequent hands-on delivery, preferring private repositories for day-to-day work while maintaining a historically active GitHub footprint. Collected from startup CTO to VP roles, his profile blends product-minded engineering with operational rigor and a track record of scaling teams and systems.
15 years of coding experience
15 years of employment as a software developer
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at Kazan National Research Technical University named after A.N.Tupolev – KAI
Contributions:275 commits, 13 PRs, 177 pushes in 2 years
ruby-on-railsmachinesrailsvirtual-machinesruby
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