Open to opportunities

vinod sagar

@vinodsagar

Message

I build production-grade agentic AI, RAG systems, and secure LLM APIs.

India

Message

What I'm looking for

I'm looking to build secure, production-grade agentic AI and RAG systems, with ownership across LLM orchestration, evaluation, backend APIs, and scalable AWS deployment.

At Tap Health, I design and deploy production-grade RAG systems, LangGraph multi-agent workflows, and Microsoft Foundry AI agents for enterprise use cases. I build secure FastAPI services with JWT/OAuth2, Human-in-the-Loop checkpoints, persistent state management, and AWS deployments.

Previously at HCL Technologies, I delivered Python solutions for Google engineering teams, AWS data pipelines for Smith & Nephew, and Django REST Framework applications for Smart DCC. I also bring experience in LLM fine-tuning, vector search, evaluation, AI guardrails, and cost-optimized multi-provider LLM gateways.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Tap Health

Aug 2024 - Present (2 years)

Designed and deployed production-grade RAG systems and multi-agent workflows using LangGraph, MCP, and Microsoft Foundry. Implemented HITL checkpoints, secured APIs with FastAPI and JWT/OAuth2, and fine-tuned LLMs with LoRA/QLoRA on AWS.

LangGraph MCP RAG fastAPI JWT LoRAs QLoRA Hugging Face EC2 Lambda Docker

Software Engineer

HCL Technologies

Aug 2018 - Jul 2023 (4 years 11 months)

Developed Python solutions for Google, designed ETL pipelines for Smith & Nephew, built Django REST Framework applications for Smart DCC, and delivered Python automation for Caterpillar.

Python Django Django REST Framework ETL AWS Automation