Abhishek Shirgaokar is a Product Engineer with 10 years of experience building ML-driven, cloud-native systems using Python and containerized deployments. He has delivered low-latency, production-grade recommendation services for a 2M+ DAU short-video product and engineered a cost-saving self-managed PostgreSQL cluster that cut cloud spend by over 90% while preserving performance. At AI startups he redesigned visual discovery pipelines—applying multi-embedding density clustering and serverless GPU/CPU orchestration—to automate unique-look identification and reduce manual QA. Comfortable across the ML stack and infrastructure, he bridges model research and scalable production, favoring pragmatic hardware and data partitioning choices. Based in Bengaluru, he combines deep model work with hands-on systems engineering to turn complex research ideas into deployable features. An emphasis on portability and horizontal scaling hints at a strong instinct for maintainable, cost-efficient architectures.
10 years of coding experience
8 years of employment as a software developer
Higher Secondary Certificate (HSC), Maharashtra Board, Computer Science, Higher Secondary Certificate (HSC), Maharashtra Board, Computer Science at Loyola High School and Junior College
Bachelor of Engineering (B.E.), Computer Engineering, Bachelor of Engineering (B.E.), Computer Engineering at Pune Institute of Computer Technology
Contributions:47 pushes, 1 branch in 1 year 4 months
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Abhishek Shirgaokar - Product Engineer at Frameo AI