Sugata Acharjya is a Senior Software Engineer in San Francisco with 13 years of experience building data-intensive, production-grade systems across fintech, e-commerce, healthcare research, and enterprise software. He has led technical efforts from decomposing monoliths into Python microservices to enabling petabyte-scale queries via a custom PrestoDB extension at Shopify, and currently drives engineering at Credit Karma. His background in statistics, computer science, and psychology gives him a quantitative edge in designing observability and forecasting systems while keeping user and research workflows in mind. Notably, he has shipped full-stack Rails platforms for growth automation and led treatment data capture systems in neuroscience research, showing a knack for translating complex domain requirements into reliable software.
13 years of coding experience
4 years of employment as a software developer
BS - Statistics, Computer Science & Psychology, BS - Statistics, Computer Science & Psychology at University of Toronto
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