Summary
Harsh Bhavsar is a Staff Software Engineer with 10 years of experience building microservices, deep learning pipelines, and data-driven systems, currently leading platform work at Uber. He has a strong background in Spring Boot, TensorFlow, and Google Cloud, and has progressed through multiple engineering levels at Uber after earlier backend work at Copart. Comfortable in Agile/Scrum environments, he blends mobile and generative AI interests—reflected in his GitHub focus—to bridge product-facing applications with ML infrastructure. Harsh holds an MS in Computer Science from UT Dallas and brings hands-on experience shipping scalable services in high‑throughput environments. Colleagues rely on him for pragmatic architecture choices that balance model complexity with production reliability. He’s based in Ahmedabad and brings an international perspective from education and early U.S. engineering roles.
9 years of coding experience
9 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at The University of Texas at Dallas
High School 12th Grade Science Studies, High School 12th Grade Science Studies at Lal Bahadur Shahstri Vidhyalay, Vadodara
Bachelor of Engineering (B.E.) Information Technology, Bachelor of Engineering (B.E.) Information Technology at Gujarat Technological University (GTU)
School 10th Grade, School 10th Grade at Jay Ambe Vidyalaya, Vadodara
Gujarati, Hindi, English, Sanskrit