Summary
Shreyas Agnihotri is a seasoned distributed systems engineer with 18 years of passion for distributed backups and related infrastructure and 11 years of professional experience based in San Jose, California. He blends deep systems thinking from a long-standing focus on distributed architectures with practical machine learning exposure through Stanford’s ICME workshop. Holding a BE in Computer Science and a Product Management certificate, he pairs technical depth with product sensibilities to translate complex requirements into reliable, user-focused systems. Comfortable across research-adjacent ML topics and production-grade infrastructure, he favors pragmatic engineering that balances scalability, observability, and maintainability. An engineer who’s as likely to prototype a novel replication strategy as to drive product decisions, he brings both curiosity and cross-functional fluency to teams building resilient distributed services.
11 years of coding experience
Product Management Certificate, Product Management, Product Management Certificate, Product Management at Product School
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Walchand College of Engineering, Sangli
ICME Workshop, Machine Learning, ICME Workshop, Machine Learning at Stanford University
English, Hindi, Marathi