About Bhanu
Domain depth meets systems thinking.
An AI agent and automation engineer with deep Indian financial-market context, building production systems across data, research, compliance, reporting, and operations.
The through line
I work where ambiguity meets operational risk.
Financial workflows are rarely clean. They mix data from imperfect sources, domain rules, documents, browser-bound tools, time pressure, and human judgment.
My role is to turn that reality into systems people can trust: deterministic where correctness demands it, AI-assisted where ambiguity demands it, and observable everywhere.
I currently operate as a sole engineer inside a SEBI-registered financial research environment, owning systems from first source to final operational handoff.
Working principles
Understand the workflow before choosing the model.
Evidence and controls make AI useful in production.
The best automation removes waiting—not accountability.
Design failure paths before scaling the happy path.