About Bhanu

Domain depth meets systems thinking.

An AI agent orchestration and automation engineer with deep Indian financial-market context, building production systems across data, research, compliance, reporting, and operations.

Bhanuprakash Avadutha

Who is Bhanu Avadutha?

Bhanuprakash Avadutha is an AI Agent and Automation Engineer based in Hyderabad, India. He builds production AI agents, automation systems, and data infrastructure for Indian financial-market operations, currently working as the sole engineer inside a SEBI-registered financial research firm.

The through line

I work where ambiguity meets operational risk.

Financial workflows mix imperfect data, 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.

Experience

Ownership from input to outcome.

01

2024 — Present

Data Engineer · AI Automation Builder

SEBI-registered financial research firm

Sole engineer responsible for production data and automation systems spanning editorial intelligence, research, client operations, compliance, and reporting.

  • Shipped eight production systems
  • Designed cloud data and document pipelines
  • Embedded AI where rules alone were insufficient

02

2024

Master of Computer Applications

Postgraduate degree

Formal computer-applications foundation strengthened through production engineering and financial-domain work.

  • Software engineering
  • Data systems
  • Applied AI

Working principles

01

Understand the workflow before choosing the model.

02

Evidence and controls make AI useful in production.

03

The best automation removes waiting—not accountability.

04

Design failure paths before scaling the happy path.

Technical range

PythonMachine LearningLangChainLangGraphLLM APIsRAGAgent workflowsTypeScriptReactNext.jsTailwind CSSSQLPandasAirflowBigQuerydbtGCPSupabaseVercelTerraformGitGitHubPlaywrightPydanticZodApps Script

Stack27 technologies

The tools behind the work.

Selected / LangChain

Composable LLM applications and tool-connected workflows.

01AI & agents
02Application
03Data & cloud
04Delivery
Have a hard workflow?Let's make it operable.

Build the
system.

LLM-ready/index.md
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