Summary
Nilaksh Agarwal is a software developer with eight years of experience building scalable, cloud-native systems and data-driven products, currently contributing to Apple after a recent role at Palantir where he worked on multi-cloud instance lifecycle, capacity reservations, and disruption-tolerant scaling. He combines strong academic pedigree—M.S. work at Columbia and an MTech from IIT Delhi—with hands-on engineering across startups, quant research, and large tech firms like Microsoft and Palantir. His background spans distributed systems, fault-injection testing, and production ML/data pipelines, and he has practical experience enabling cross-cloud resilience (AWS, Azure, GCP, OpenShift) and instance-type fallback strategies. He has taught graduate-level machine learning and computer vision courses, signaling an ability to explain complex concepts and mentor others. Based in Seattle, he pairs rigorous research instincts from academia with pragmatic production engineering, and has a less obvious strength in translating unstructured data into actionable signals from his quant and data science roles.
8 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
All India Senior School Certificate Examination Science, All India Senior School Certificate Examination Science at AECS Magnolia Maaruti Public School - India
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Columbia University
CBSE 10th Grade, CBSE 10th Grade at National Public School
English, Hindi