Summary
Abhinav Adarsh is a Senior Member of Technical Staff with 8 years of experience building scalable distributed systems, currently driving backend architecture at Salesforce. He blends strong academic foundations—a BS in Information Science and an MS in Computer Science—with practical expertise in distributed systems, ML, and IoT. His background includes early quantitative experience as a Technology Summer Analyst at Morgan Stanley, giving him an appreciation for performance and reliability in production systems. Colleagues know him for translating complex system requirements into maintainable, high-throughput services and for mentoring engineers on design trade-offs. Based in Hyderabad, he brings a data-driven, research-informed approach to engineering decisions and a curiosity that spans from low-level systems to applied machine learning. Notably, his cross-disciplinary training in physics and CS helps him spot elegant solutions that others might overlook.
8 years of coding experience
Physics, Chemistry, Maths, 88%, Physics, Chemistry, Maths, 88% at Delhi Public School - India
Bachelor of Engineering - BE, Information Science (CS Major), 9.07, Bachelor of Engineering - BE, Information Science (CS Major), 9.07 at The National Institute Of Engineering, Mysore
Master's degree, Computer Science, 3.71, Master's degree, Computer Science, 3.71 at Stony Brook University