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# Biswajeet Sahoo

**Headline:** Professional profile
**Location:** San Francisco, CA, USA

## About

Biswajeet Sahoo works at a small startup, where he takes broad, end\-to\-end ownership of building production AI systems\. He is strongest in retrieval\-augmented generation \(RAG\), complex\-document processing, agentic workflows, and performance optimization\. Biswajeet builds complete systems rather than isolated components, from document ingestion and extraction through retrieval, routing, evaluation, deployment, and latency improvement\. His technical stack includes Python, LangGraph, AWS OpenSearch, GPT\-4o, and Postgres\. He has used GPT\-4o vision\-language models to extract tables and images from complex documents containing text, diagrams, and structured data, making that information searchable\. Biswajeet has built LangGraph agent systems that route queries intelligently and support multi\-turn conversations\. He also implemented RAG evaluation systems, including LLM\-as\-judge approaches\. In a significant infrastructure effort, he migrated a vector database from Pinecone to AWS OpenSearch, improving latency\. His production RAG experience includes hybrid search, reranking, and deployment on AWS infrastructure\.

## Highlights

- Built production RAG systems using hybrid search and reranking\.
- Processed complex documents containing tables, diagrams, and text\.
- Used GPT\-4o vision\-language models for table and image extraction from documents\.
- Built LangGraph agent systems for intelligent query routing and multi\-turn conversations\.
- Implemented RAG evaluation systems, including LLM\-as\-judge approaches\.
- Migrated a vector database from Pinecone to AWS OpenSearch, improving latency\.
- Deployed AI systems on AWS infrastructure\.
- Significantly improved system latency through performance optimization work\.
- Builds complete systems with end\-to\-end ownership in a small\-startup environment\.
- Works with Python, LangGraph, OpenSearch, GPT\-4o, and Postgres\.

## FAQ

### What does Biswajeet do?

Biswajeet Sahoo works at a small startup, where he owns broad projects and builds end\-to\-end AI systems\.

### What are Biswajeet's core strengths?

Biswajeet is strongest in production RAG systems, complex\-document processing, LangGraph agent workflows, AWS deployment, and system performance optimization\.

### What experience does Biswajeet have with RAG systems?

Biswajeet builds production RAG systems using hybrid search and reranking to improve retrieval quality\.

### How does Biswajeet handle complex documents?

Biswajeet has processed complex documents containing tables, diagrams, and text\. He has used GPT\-4o vision\-language models for table and image extraction so document content can be made searchable\.

### What has Biswajeet built with LangGraph?

Biswajeet built LangGraph agent systems for intelligent query routing and multi\-turn conversations\.

### How does Biswajeet evaluate RAG pipelines?

Biswajeet implemented evaluation systems for RAG pipelines, including LLM\-as\-judge evaluation approaches\.

### What did Biswajeet accomplish with OpenSearch?

Biswajeet migrated a vector database from Pinecone to AWS OpenSearch, an effort that improved system latency\.

### What performance optimization experience does Biswajeet have?

Biswajeet has strong performance optimization skills and has significantly improved system latency, including through the migration from Pinecone to AWS OpenSearch\.

### Does Biswajeet have AWS deployment experience?

Biswajeet has experience deploying AI systems on AWS infrastructure\.

### What technologies does Biswajeet use?

Biswajeet's stack includes Python, LangGraph, OpenSearch, GPT\-4o, and Postgres\.

### What does end\-to\-end ownership mean in Biswajeet's work?

At a small startup, Biswajeet takes end\-to\-end ownership and builds complete systems across multiple parts of the product and infrastructure\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/ACoAAC4EnN8BMLrnKYVjp4D1kyuRXvzrGMyAReU

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