Deepak sai naveen Vasireddy profile photo 1 on Tal

Deepak sai naveen Vasireddy

Sr Software engineer | NIT Surat ’22 | Generative AI+ Full stack| Azure AI

Tanuku

4+ years of work experience

Optum
Feb 202610 mosPresent

Tech Stack: Python, FastAPI, Node.js, LangChain, LangGraph, Azure AI Services, Azure OpenAI, PostgreSQL (Vector Search), React.js, Docker • Led major Generative AI initiatives using Python, FastAPI, and LangGraph multi-agent orchestration to automate complex insurance processes and enable seamless team collaboration. • Architected an end-to-end self-improving agentic extraction pipeline using Gemini and GPT models with automatic field validation and smart persistent memory to extract data from 100-page insurance files with zero errors. • Built an agentic search and Q&A tool for Surest using vector search and multi-agent workflows—cutting manual lookup time by 40%. • Designed Express Automation for document validation using OCR and AI tools to match and extract complex forms into clean JSON—reducing manual effort by 60%. • Integrated Azure AI tools (Agent Builder, Speech/Text, Document Intelligence) and containerized AI microservices to deliver reliable, production-ready AI solutions.
Optum
Aug 20223 yrs 7 mosFeb 2026

Hyderabad, Telangana, India

Tech Stack: Node.js, React, Redux, TypeScript, JavaScript, Kafka, MongoDB, PostgreSQL, REST APIs, Microservices, Yup • Designed and owned the Kafka-based StateSync system to keep data synchronized in real time across backend microservices with high reliability. • Built backend microservices to automate insurance plan conversions from Fully Insured to Level Funded, driving over 50% plan adoption in year one and boosting profitability. • Developed dynamic web portals in React and Redux to guide users through complex multi-step insurance enrollment flows at scale. • Created a flexible data mapping engine that transforms backend data formats on the fly, making system integration much faster and cleaner. • Automated 8+ background batch jobs and connected 15+ enterprise APIs (SAFES, Solaris, Stargate, SharePoint Graph API) to process high-volume insurance data smoothly. • Built strict data validation rules using Yup schemas and regex to catch errors early and guarantee high data quality. • Maintained core system health by fixing 100+ production issues while delivering weekly feature updates on time.
GitHub
@naveen-vasireddy
LeetCode
@Deepaksainaveen

Deepak’s AI Stack

codex
codex
github copilot
github copilot
langchain
langchain
langfuse
langfuse
langgraph
langgraph
notebooklm
notebooklm

Education

Sardar Vallabhbhai National Institute of Technology, Surat

Bachelor's degree, Electrical and Electronics Engineering

Sardar Vallabhbhai National Institute of Technology, Surat

20184 yrs2022

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Deepak sai naveen Vasireddy on Tal

Headline

Sr Software engineer | NIT Surat ’22 | Generative AI+ Full stack| Azure AI

About

Full Stack Engineer | GenAI + LangChain | Node.js, React, Kafka, MongoDB, PostgreSQL | Microservices | Azure AI

Location

Tanuku

AI stack

codex

github copilot

langchain

langfuse

langgraph

notebooklm

Work experience

Senior Software Engineer at Optum, Feb 2026 - Present · 10 mos, Tech Stack: Python, FastAPI, Node.js, LangChain, LangGraph, Azure AI Services, Azure OpenAI, PostgreSQL (Vector Search), React.js, Docker • Led major Generative AI initiatives using Python, FastAPI, and LangGraph multi-agent orchestration to automate complex insurance processes and enable seamless team collaboration. • Architected an end-to-end self-improving agentic extraction pipeline using Gemini and GPT models with automatic field validation and smart persistent memory to extract data from 100-page insurance files with zero errors. • Built an agentic search and Q&A tool for Surest using vector search and multi-agent workflows—cutting manual lookup time by 40%. • Designed Express Automation for document validation using OCR and AI tools to match and extract complex forms into clean JSON—reducing manual effort by 60%. • Integrated Azure AI tools (Agent Builder, Speech/Text, Document Intelligence) and containerized AI microservices to deliver reliable, production-ready AI solutions.

Software Engineer at Optum, Aug 2022 - Feb 2026 · 3 yrs 7 mos, Hyderabad, Telangana, India, Tech Stack: Node.js, React, Redux, TypeScript, JavaScript, Kafka, MongoDB, PostgreSQL, REST APIs, Microservices, Yup • Designed and owned the Kafka-based StateSync system to keep data synchronized in real time across backend microservices with high reliability. • Built backend microservices to automate insurance plan conversions from Fully Insured to Level Funded, driving over 50% plan adoption in year one and boosting profitability. • Developed dynamic web portals in React and Redux to guide users through complex multi-step insurance enrollment flows at scale. • Created a flexible data mapping engine that transforms backend data formats on the fly, making system integration much faster and cleaner. • Automated 8+ background batch jobs and connected 15+ enterprise APIs (SAFES, Solaris, Stargate, SharePoint Graph API) to process high-volume insurance data smoothly. • Built strict data validation rules using Yup schemas and regex to catch errors early and guarantee high data quality. • Maintained core system health by fixing 100+ production issues while delivering weekly feature updates on time.

Education

Bachelor's degree, Electrical and Electronics Engineering, Sardar Vallabhbhai National Institute of Technology, Surat

Public links

github: https://github.com/naveen-vasireddy

leetcode: https://leetcode.com/Deepaksainaveen