Summary
Adarsh Agarwal is a software engineer with 10 years’ experience building large-scale distributed systems and generative AI products at Amazon, where he has shipped conversational assistants used by roughly half of corporate employees and led the microservice behind Amazon Quick Suite’s Deep Research Agent from concept to external beta. He combines backend systems design and operational readiness expertise with product-focused work on generative, personalized experiences—currently crafting AI-driven music recommendations and voice interactions for Amazon Music. Past roles span end-to-end full‑stack and data pipeline work in retail, video analytics, and accessibility tooling, reflecting breadth across cloud-native services, agent architectures, and frontend interfaces. Known for bridging advanced models with practical user experiences, he brings a pragmatic, research-oriented approach to turning novel AI capabilities into reliable, user-facing products.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Information Science, Master of Science - MS, Information Science at University of Illinois Urbana-Champaign
Bachelor of Engineering (B.E.), Electrical and Electronics Engineering, Bachelor of Engineering (B.E.), Electrical and Electronics Engineering at Birla Institute of Technology and Science, Pilani - Goa Campus
English, Hindi