how i got here

a fairly non-linear flight path.

research labs, a couple of startups, a lot of gpus. most recent first. the full version, funny bits included, lives on linkedin.

01 path
  • feb 2026–now
    founding engineer · brief (a16z speedrun)
    the product-context layer for ai coding agents. san francisco.
  • dec 2025–feb 2026
    applied ai engineer · aira technologies
    agents: self-improving, reasoning, evaluation. san francisco.
  • jan–aug 2025
    applied ai intern · aira technologies
    real-time anomaly detection across 6,000+ at&t sites; multi-agent root-cause analysis (5h → 3min). saratoga, ca.
  • sep 2024–jan 2025
    graduate researcher · umass amherst (kdl)
    mixture-of-experts models for causal effect estimation, with prof. david jensen.
  • jan–jul 2024
    nlp research intern · microsoft
    selective language modeling for efficient llm pretraining: 10× faster convergence, +6.8% across 15 benchmarks. bengaluru.
  • jun–sep 2023
    research intern · mitacs · uoft & ontario tech
    canclite, cnn breast-cancer detection (densenet, inceptionv3, efficientnet) at mlch labs.
  • summer 2022
    research intern · harvard
    ai labs.
  • jun 2022–apr 2023
    research assistant · iiit sri city
    deep learning for healthcare; publications incl. eaai.
  • jul 2022–mar 2023
    research assistant · iit (bhu) varanasi
    roadsdnet, road-boundary detection; −25% navigation error (acm cv 2025).
  • may 2022–jan 2023
    r&d intern · protohubs.io
    text-to-3d generation with gaussian splatting, alongside jagatheeswaran senthilvelan (now head of innovation at noise). remote.
  • 2024–dec 2026
    ms, computer science · umass amherst
    healthcare ml, causal inference. amherst, ma.
  • 2020–2024
    b.tech, computer science · vellore institute of technology