Research Engineer
Atul Saxena
I build the environments models are trained in, and the tools that show what they learned.
- RL Systems
- Interpretability
- ML Infrastructure
Research Engineer
Atul Saxena
I build the environments models are trained in, and the tools that show what they learned.
Grouped by what the work actually is, with the thing that demonstrates it. No self-assessed percentages — those are made up, and you can check everything below.
4
Languages shipped in
11
Projects built
10
Upstream PRs merged
Where it shows up — Snorkel AI production environments; Bespoke Labs pod lead; VERITAS.
Where it shows up — GPT-2 trajectory paper; AXON; BrainPatch.
Where it shows up — BrainPatch runtime across Transformers, llama.cpp and vLLM; Noma at ~16 ms.
Where it shows up — GS-DroneGym on PyPI; Reachy Mini Talkie; IIT Mandi VLA research.
Where it shows up — LEMMA and Sieve in Rust, heapwatch in Zig, VERITAS in C++.
Where it shows up — UPAI Platform — 100+ models, PostgreSQL state, rate limiting, async jobs.
Where it shows up — Cyber Sentinel winner, IIT Madras; Sieve; Redauth.