Summary
Sameer Sonawane is a backend software engineer with 12 years of experience building high-performance distributed systems for financial markets, e-commerce logistics, and large-scale search and data platforms. Currently at Meta, he helps transport petabytes per hour through a distributed buffered queuing system, and previously led efforts at Google to decompose monolithic Search services into microservices for greater reliability. His work at Amazon and Morgan Stanley demonstrates a strong track record of optimization—reducing processing times by 80%, saving millions through ML-driven invoice reconciliation, and shrinking trade risk calculation from hours to minutes. He blends deep system design skills with applied machine learning and NLP, having built recommendation engines, text summarizers, and an English-to-query web interface using CoreNLP. Based in the UK and trained at VNIT, Sameer is drawn to optimization problems and continues to explore novel challenges in distributed systems and language-aware applications. A detail not obvious from titles: he has contributed to high-performance data cube materialization for medical imaging during a Google Summer of Code project, showing an early focus on scalable analytics.
11 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Computer Science and Engineering, GPA : 8.31/10.0, Bachelor’s Degree, Computer Science and Engineering, GPA : 8.31/10.0 at Visvesvaraya National Institute of Technology
High School, High School at Symbiosis School, Nashik
English, Hindi, Marathi