Teaching an Agent Fleet to Distrust Documents: Zero-Trust M&A Diligence on Google Cloud
How Diligence Room uses isolated agents, hostile-document screening, and evidence gates to make autonomous deal diligence defensible.
Divyansh
Agrawal
ML RESEARCH & ENGINEERING
I build and evaluate learning systems.
Explore eight attention mechanisms through diagrams and experiments.
How Diligence Room uses isolated agents, hostile-document screening, and evidence gates to make autonomous deal diligence defensible.
Qwen ships a one-layer multi-token predictor that vLLM and SGLang can use for native speculative decoding.
What an evolutionary multi-agent simulation reveals about cultural persistence, selection, migration, and the danger of values that never bend.
I test whether agents can distinguish repeated claims from independent evidence.
EXPLORE PROJECT ↗I build low-latency routing, caching, and observability for LLMs.
EXPLORE PROJECT ↗An agent-native Factorio environment for testing LLM agents, learned policies, and hybrid control.
EXPLORE PROJECT ↗I move between infrastructure, reinforcement learning, and evaluations to build small systems that make model behaviour easier to test and understand.
Outside work, I love movies, travelling, photography, and the occasional hackathon.
More about me ↗