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Sai Badri

@saibadri

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I build Python, AI, and cloud platforms for financial, healthcare, and connected-car workflows.

United States

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What I'm looking for

I'm looking to build production Python, AI/ML, and cloud platforms where I can deliver scalable APIs, intelligent workflows, and reliable data-driven systems.

At BNY, I build Python backend services and AI/ML workflows for financial data, including REST and Kafka APIs used by React and Angular applications.

I've developed document Q&A and knowledge-search platforms using RAG, embeddings, Pinecone, ChromaDB, FAISS, LangChain, LangGraph, and OpenAI and Anthropic APIs. I also build agentic workflows, multi-agent orchestration, and ML pipelines for financial time-series inference.

Previously at Legato Health Technologies, I built Flask and FastAPI microservices for claims, prescription, and member-eligibility workflows, with secure healthcare controls supporting HIPAA requirements.

At InMobi, I developed Python services for telematics and connected-car applications and improved Oracle query performance by approximately 30% in high-traffic scenarios. Across my work, I deploy containerized services on AWS and build reliable CI/CD, monitoring, authentication, and asynchronous processing workflows.

Experience

Work history, roles, and key accomplishments

Current

Full Stack Engineer – AI/ML

Current

BNY

Mar 2024 - Present (2 years 6 months)

Built and maintained Python backend services with FastAPI and Pydantic for financial data and ML inference workflows, exposing REST and Kafka-based APIs consumed by React and Angular applications. Developed a document Q&A and knowledge-search platform using RAG, embeddings, vector retrieval, and LangChain/LangGraph with OpenAI and Anthropic APIs.