Harsh Gupta is a software engineer with eight years of experience building backend and cloud-native systems, currently developing consumer-facing services at Audible within Amazon’s Consumer Domains. He holds an MS in Computer Science from Stony Brook with a focus on distributed systems and NLP, and has practical GenAI experience from academic projects. Prior roles at Amazon Retail (Transport Financial Services), Cisco DevX, CERN (GSoC), and NASA-formal-methods-aligned internships showcase a mix of large-scale production systems, developer tooling, and research-oriented development. He’s comfortable across the stack—designing REST APIs, optimizing data retrieval, and scaling backend services—and brings an eye for performance (e.g., improving portal data retrieval by ~40% during GSoC). Based in Stony Brook, NY, Harsh blends enterprise practice with academic rigor and a curiosity for applying generative models to real-world distributed systems.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech Information Technology, Bachelor of Technology - BTech Information Technology at National Institute of Technology Karnataka
High School, High School at Delhi Public School - India
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stony Brook University
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