Summary
Saprem Shah is a seasoned software engineer with 11 years of experience building scalable, fault-tolerant systems and is currently an SMTS at Salesforce. He recently designed and implemented a highly available DynamoDB migration platform at Amazon capable of handling 50K+ requests/sec with strong data reconciliation guarantees. His background spans production systems at scale and research in computer vision and QA frameworks, blending practical engineering with academic rigor evidenced by published work and research internships. Comfortable across distributed systems, automation, and data-intensive platforms, he has a track record of turning complex migration and vendor tooling challenges into reliable services. Based in India, Saprem pairs hands-on implementation skills with mentoring and teaching experience from his university roles, showing an aptitude for knowledge transfer as well as system design. Notably, his early research on unsupervised object localization and contributions to QA tooling hint at a persistent curiosity for bridging ML research and production software.
11 years of coding experience
6 years of employment as a software developer
S.S.C., S.S.C. at Rustomjee Business School
H.S.C., H.S.C. at Pace Junior College Mumbai
Bachelor's degree Information and Communcation Technology, Bachelor's degree Information and Communcation Technology at Dhirubhai Ambani Institute of Information and Communication Technology
English, Hindi, Gujarati, Marathi, French