Summary
Aman Purwar is a Staff Software Engineer with nine years of experience building high-throughput, production-grade data and AI systems across startups and large tech firms. He has led cross-functional teams at Intuit to deploy Snowflake-powered marketing data pipelines processing 15k–30k TPS and introduced AI tooling that doubled engineering velocity while safeguarding 20M user profiles. As a founding engineer at an AI-first startup, he architected LLM-driven document extraction, reconciliation services responsible for 40% of revenue, and an accuracy analysis framework that boosted customer trust. His background includes low-latency systems work at Tower Research and cloud-native data integrations at Rockset/OpenAI, reflecting deep expertise in distributed data engineering and reliability. Based in San Francisco with MS from Purdue and a BTech from IIT Kharagpur, he blends academic rigor with pragmatic product-focused execution. A less obvious strength: he repeatedly turns research-grade ideas into revenue-driving production services, from map-reduce LLM bots to enterprise-scale data warehouses.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Purdue University
Higher Secondary Science Stream, Higher Secondary Science Stream at DAV Public School, Kota
Btech computer science, Btech computer science at Indian Institute of Technology, Kharagpur
High School PCM, High School PCM at St.Joseph's School
English, Hindi