---
title: "Nitesh Agrahari - Software Engineer 2 in Bengaluru | Tal"
description: "Meet Nitesh Agrahari, Software Engineer II @Carelon || MERN || JAVA || Python || LLM || GenAI || NIT TRICHY based in Bengaluru. AI stack includes antigravity, codex, and cursor."
image: "https://tal.club/meet/nitesh-agrahari/share-image"
---

# Nitesh Agrahari on Tal

## Headline

Software Engineer II @Carelon \|\| MERN \|\| JAVA \|\| Python \|\| LLM \|\| GenAI \|\| NIT TRICHY

## About

Software Engineer II with 3\+ years of experience designing and building scalable backend systems, distributed microservices, and AI\-powered enterprise applications\. I specialize in Java, Spring Boot, React\.js, PostgreSQL, MongoDB, and cloud\-native technologies, with hands\-on experience delivering production\-grade software for the healthcare and AI governance domains\. Currently, I work at Carelon Global Solutions \(Elevance Health\), where I develop enterprise healthcare platforms that support claims lifecycle management, dispute resolution, and intelligent document processing\. My work focuses on designing scalable RESTful APIs, building Spring Boot microservices, optimizing database performance, and delivering secure, high\-performance applications used in enterprise environments\. Previously, I contributed to enterprise AI Governance platforms, including Model Catalog, Responsible AI \(RAI\) Registry, and ML Registry, enabling AI model lifecycle management, governance, and regulatory compliance\. I have also worked on integrating Large Language Models \(LLMs\) and Retrieval\-Augmented Generation \(RAG\) into enterprise applications to build intelligent document processing, contextual search, and AI\-assisted workflows\. I enjoy solving complex backend engineering challenges, designing scalable architectures, improving application performance, and building software that delivers measurable business value\. I have a strong interest in distributed systems, cloud technologies, Generative AI, and building reliable systems at scale\. Core Expertise • Java, Spring Boot, Spring Security • Microservices & Distributed Systems • RESTful APIs & Backend Architecture • PostgreSQL, MongoDB, Redis • React\.js & Node\.js • Large Language Models \(LLMs\) & Retrieval\-Augmented Generation \(RAG\) • Docker, Kubernetes, AWS, Azure, CI/CD • System Design, Performance Optimization & Scalable Software Engineering Outside of work, I continuously sharpen my problem\-solving skills and have solved 700\+ Data Structures & Algorithms problems on LeetCode\. I enjoy learning new technologies, contributing to impactful products, and preparing for complex engineering challenges\.

## Location

Bengaluru

## AI stack

antigravity

codex

cursor

## Work experience

Software Engineer 2 at Carelon Global Solutions India, Apr 2026 \- Present · 5 mos, Bengaluru · Hybrid, Developed a healthcare Out\-of\-Court Settlement Platform supporting dispute resolution and claims lifecycle management for enterprise healthcare operations\. • Designed and implemented microservices and RESTful APIs using Spring Boot and Node\.js to support high\-volume settlement processing and distributed workflows\. • Built scalable full\-stack solutions using React\.js, Java, PostgreSQL, and MongoDB, improving operational efficiency and platform usability\. • Optimized PostgreSQL and MongoDB queries, indexing strategies, and schema design, reducing data retrieval latency by 60%\. • Integrated AI\-powered document summarization workflows and developed real\-time dashboards for dispute monitoring and settlement tracking\.

Associate Software Engineer III at Carelon Global Solutions India, Jul 2023 \- Present · 3 yrs 2 mos, Bengaluru · Hybrid, Developed enterprise AI Governance Platforms including Model Catalog, Responsible AI \(RAI\) Registry, and ML Registry for AI model lifecycle management and compliance tracking\. • Built scalable full\-stack applications using React\.js, Spring Boot, and MongoDB to support governance workflows, model onboarding, and regulatory compliance requirements\. • Designed and developed RESTful APIs and backend services supporting distributed enterprise AI applications\. • Improved RAI Summary and AI by Market dashboard performance by 10x through API optimization, caching strategies, and database tuning\. • Collaborated with product owners, business stakeholders, data scientists, and engineering teams to streamline AI governance processes\. • Contributed to microservice architecture enhancements, improving platform maintainability, scalability, and deployment efficiency\. • Developed an internal AI\-powered Retrieval\-Augmented Generation \(RAG\) chatbot to enable semantic search and question answering over enterprise knowledge bases, significantly improving information retrieval efficiency\.

## Education

Master of Computer Applications \- MCA, Computer Science, National Institute of Technology, Tiruchirappalli

[View the original profile](https://tal.club/meet/nitesh-agrahari)

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