Summary
Harsh Singh is a Member of Technical Staff with three years of hands-on experience building low-latency inference and distributed systems for AI agents and infrastructure. He blends research and production work—currently developing contextual bandit inference at Sqwish while conducting supercomputer-scale FBPINN experiments for subsurface modeling at IIT Kanpur. His background spans protocol engineering, consensus research, and cloud-native security, including implementing the Fast Confirmation Rule for Lighthouse and hardening Prometheus endpoints in Istio’s Ambient Mesh. An active open-source maintainer and mentor in the Jenkins community and a past GSoC participant, he also contributed to Bitcoin/Lightning escrow work and created an oracle for the Miden zkVM, showing a knack for crypto primitives and applied research. Based in India and self-described as “gardening in the digital world,” he combines curiosity-driven experimentation with pragmatic system design to move novel research into production.
3 years of coding experience
1 year of employment as a software developer
Indian Institute of Technology Kanpur