CrowdCompute & DQaaS
Backend storage and data integrity for the engine generating RLHF and SFT datasets that train Google's foundation models. Plus a low-latency LLMOps platform for prompt versioning at enterprise scale.
I work on the data that shapes Gemini. I write about the agents that will replace it.
Inside the Evolution Arena and the rise of autoresearch.
An AI agent that proposes its own experiments, runs them against a live 2D simulation, scores the result with a hard mechanical metric, and commits or reverts on its own. A ratchet that only moves forward.
How particle swarm optimization escapes the local-minima trap in ARC-AGI.
Standard LLM agents get stuck. The fix: a PSO-governed swarm of specialized LLM particles with a continuous fitness function that rewards near-misses. The swarm provides strategy; the LLM provides syntax.
Local Tinker — a clean API for local LLM fine-tuning.
A Tinker-style API for LoRA fine-tuning of 1B–13B LLMs on your own GPU. Four primitives cover SFT, DPO, PPO, and GRPO — without the HuggingFace + PEFT + bitsandbytes boilerplate.
Backend storage and data integrity for the engine generating RLHF and SFT datasets that train Google's foundation models. Plus a low-latency LLMOps platform for prompt versioning at enterprise scale.
Architected and shipped a centralized ingestion platform processing 10B+ events/day on Kinesis, Lambda, and S3. Resilient by default; the data lake's front door.
Master's thesis on multi-source odor localization with swarm robotics — the work behind US Patent 8,838,271 for nuclear spill detection. Cited 12× and the foundation for everything I do now.
Multi-agent systems for the ARC-AGI challenge — abstract reasoning frontier.
Swarm-based search applied to ARC-AGI — bio-inspired optimization for reasoning.
RSI framework for LLMs — iterative capability enhancement.
Deep Q-Network agent that learns to play Snake from raw reward.
I started as an aerospace engineer designing intake systems for missiles, became a swarm-robotics researcher under Debasish Ghose at IISc, picked up a US patent and a Cornell MEng on the way, and have spent the last decade shipping data infrastructure at Amazon and Google.
Today I work on the data engine behind Google's foundation models. Off-hours, I write essays and run experiments on multi-agent reasoning — the long tail of the swarm research, in a new vocabulary.
Saratoga, California · Senior Member, IEEE · FBCS
Also: Senior Member of IEEE · FBCS · Hackathon Raptors Fellow · IEEEXtreme Proctor · GATE 99th-percentile scholar. Mentor at Google Tech Exchange, Founder Institute, and Opportunity Machine.