Aditya - (uhh-dith-yuh).
Some people call me by my last name, Khowal, but either works for me.
AI @ Stripe
photographer, climber, ex-swimmer, espresso
What I’m Up To
- Working on LLM Extraction Pipeline at UW’s Larch Lab: https://llwang.net/lab/
- Working on various side projects in ML
- Software Engineer on Stripe’s ML Foundations ORG
Previously @:
- Stripe (observability diagnostics)
- Redacted Logs & Metrics in real time on the data plane
- Worked in GO, Java, and tiny bit of Typescript.
- Used Grafana, Prometheus, and AWS
- Amazon (Alexa)
- Worked in APL, Java and AWS
- Reduced track transitions from 900ms 2ms on average on alexa music mid sized screen devices.
- Implemented dynamic stateless track switching in APL, and decoupled java backend music system to allow for fast seamless transitions.
- University of Missouri (AI Healthcare)
- used a Hybrid C-Var P Robust ML solving approach to reduce hospital blood waste by optimizing ordering policies. Picture at bottom
- Used Chiron, a deep learning CNN+RNN+CTC base caller to translate nanopore sequences into valid DNA sequence code 2nd author on Poster
- Bond Intelligence (bond investment platform)
Check out projects.md or blog.md for more!
Contact me
📧 akhowal@uw.edu
💼 LinkedIn
🔗 GitHub