Open to opportunities

Bhavani Sai Narayana Pottipothula

@bhavanisainarayanapo

Message

I build production AI and backend platforms for complex financial workflows and enterprise data.

United States

Message

What I'm looking for

I'm looking to build production AI, distributed systems, and cloud-native applications that solve complex enterprise problems, especially in financial services. I value direct stakeholder collaboration, measurable product impact, and opportunities to grow scalable engineering platforms.

At Santander, I build agentic AI systems that help 40+ banking teams query complex financial data in natural language, contributing to $1M+ in product revenue. I re-architected an analytical Q&A engine into an AI chat interface and built LangChain RAG workflows that save analysts 12+ hours each week.

I develop React and TypeScript conversational interfaces alongside Python APIs, LLM services, LangGraph agents, and MCP integrations. My work improved deterministic query accuracy from about 65% to 97%, reduced AI response time by about 30%, and supported an internally adopted Atlassian integration used by 500+ engineers.

Previously at BNP Paribas, I modernized post-trade services for 10,000+ daily users using Python, Flask, PostgreSQL, and AWS. I also built Kafka-based services processing 350K trade events daily, improved data read performance by 30%, and strengthened delivery through Docker, Kubernetes, Jenkins, testing, and observability.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer, AI

Current

Santander

Aug 2025 - Present (1 year 1 month)

Developed production agentic AI systems enabling 40+ enterprise banking teams to query complex financial data in natural language, contributing to $1M+ in product revenue. Led re-architecture of analytical Q&A engine into an AI chat interface and implemented RAG pipelines, MCP integrations, and LangGraph-based agents.