Kunal Sahni is a software engineer with 8 years of hands-on experience building high-concurrency backend systems and AI-driven tooling, currently pursuing an MS in Software Engineering at SJSU. He has engineered production payment infrastructure at Onmeta handling $50M+ annual fiat-to-crypto volume and reduced webhook latency by 25% across 100+ integrations using Go, gRPC, and Kafka. At Philips Healthcare he improved medical image retrieval by 40% through cross-vendor DICOM unification, demonstrating an ability to bridge domain complexity and delivery timelines. Kunal builds at the intersection of distributed systems and agentic AI—shipping enterprise RAG platforms, multi-tool reasoning agents, and high-availability Go microservices that integrate modern LLM stacks. His uncommon combo—deep Go systems expertise plus practical experience wiring those systems into LLM agent frameworks—makes him effective in roles spanning AI infrastructure, backend engineering, and distributed systems. Open to Summer 2026 internships and 2027 new-grad full-time roles out of San Jose.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Software Engineering, Master of Science - MS, Computer Software Engineering at San José State University
10th CBSE, 10th CBSE at KKR Gowtham International School, Vijaywada
High School, High School at Delhi Public School, Gwalior
12th CBSE, 12th CBSE at RAMAKRISHNA VIDYA MANDIR (CBSE), Gwalior
Bachelor of Technology - BTech, Electronic and Computer Engineering, Bachelor of Technology - BTech, Electronic and Computer Engineering at Vellore Institute of Technology
A minimalistic library management application built with Apollo GraphQL
Contributions:14 commits, 1 PR, 5 pushes in 1 year 10 months
reactapollographqlappollonodejsminimalistic
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