Story
My first patent was about heat. SSDs throttle when they hit 85–95 °C and Western Digital wanted a smarter way to keep delivering throughput when the silicon was hot. I co-invented the framework that did it. +50 MBps. USPTO US11508416B2.
Now I do the same thing for LLMs. At Rising Team I'm a Senior Software Engineer II, and I was the sole or primary engineer on five of the six capabilities in our flagship AI launch — AI Coaching, AI Voice Roleplay, Personalized Growth Plans, AI Working Sessions and Personalized Member Insights. Turning LLMs into products that help managers lead better teams.
Used by leaders at Adobe, Google Cloud, Meta, Microsoft, LinkedIn, Disney, Cisco, Visa, Indeed, Bank of Hawaii, Yahoo, DXC, Hershey's, Aramark. Up to 33% retention lifts, 20–100% manager-effectiveness gains, 60–200% eNPS improvements. At Bank of Hawaii alone: 400+ sessions across 1,950 employees in 40 branches; 18% retention lift over 18 months.
The systems work shows up everywhere I touch LLMs — latency budgets, predictive throttling, recovery paths. AI is the same problem in a different costume. Before this I led an infra team of 7 across 5 OEM partners (Dell, HP, Asus, Acer, Lenovo), interned at Meta automating Facebook data-center decommissions, and did my MS at UC San Diego (GPA 4.0/4.0) where I researched LLM-based movie recommender systems with Prof. Julian McAuley using SASRec + ChatGPT.
Timeline
2026 — present
Senior Software Engineer II — Rising Team
Remote · Seattle, WA
Sole or primary engineer on five of the six capabilities in the flagship AI launch. Also shipped the Microsoft Teams platform, the activation notification engine, and two-vendor calendar integrations.
2023 — 2026
Senior Software Engineer I — Rising Team
Remote · San Jose, CA
AI platform on LangChain and LLMs — aRTi chat, AI Roleplay, Mini Kit Framework, Realtime Framework, the direct-to-S3 media pipeline, and enterprise SSO.
2022
Front End Intern — Meta (Facebook)
Menlo Park, CA
React + PHP automation framework for Facebook data-center decommission planning. Delivered 3 weeks ahead of deadline.
2021 — 2023
MS Computer Science — UC San Diego
San Diego, CA
GPA 4.0/4.0. TA across 2 academic years. Researched LLM-based recommender systems with Prof. Julian McAuley (SASRec + ChatGPT).
2019 — 2021
Engineer · Infra Tech Lead — Western Digital
Bengaluru, India
SanDisk Extreme Portable SSD line. Thermal/resource-manager framework (+50 MBps at 85–95 °C). Led infra team of 7 across 5 OEM partners (Dell, HP, Asus, Acer, Lenovo).
2018 — 2019
Engineering Intern (×2) — Western Digital
Bengaluru, India
Ungraceful Shutdown framework + automated Python latency-test harness. Coverage uplift 50% → 90% on Infra/FS modules.
2015 — 2019
BE Computer Engineering — Thapar Institute
Patiala, India
GPA 9.27/10. Co-authored IEEE ICMLDS 2018 paper on three-phase transformer fault detection (85.65% ensemble accuracy).
Stack
Outside work
Ardent chess fan.
Same systems I think about at work — opening prep is prompt engineering, the middlegame is latency, the endgame is recovery. Same problem, different costume.
Lichess · ~1700 blitz · slowly climbing