---
title: "Nilesh Modi - Java Developer in Pune/Pimpri-Chinchwad Area | Tal"
description: "Meet Nilesh Modi, GenAI | Software Engineer @Talentica | BTech-2022 @MANIT-Bhopal based in Pune/Pimpri-Chinchwad Area. AI stack includes claude and cursor. Explore public work links including github."
image: "https://tal.club/meet/nilesh-modi/share-image"
---

# Nilesh Modi on Tal

## Headline

GenAI \| Software Engineer @Talentica \| BTech\-2022 @MANIT\-Bhopal

## About

I am a 4\.5 years experienced Software Engineer\. I help organizations build scalable backend platforms, AI\-powered and cloud native solutions that improve performance, reduce operational costs, and accelerate product delivery\. Some of my key contributions include redesigning an MCP server into a dynamic, configuration\-driven platform, reducing resume parsing cost by 90%, accelerated onboarding workflows by 66%, and improved large\-scale excel export performance by 4\.5× and building production\-ready RAG applications while improving system scalability and maintainability\. I enjoy taking ownership of complex engineering problems—from architecture and design to implementation and production rollout—and delivering reliable solutions that create measurable business impact\. Technical Skills &amp; Tools: Languages: Java \(8/11/17\), SQL, Python, JavaScript Frameworks: Spring Boot, Spring Security, Spring MVC, Hibernate, JPA, LangChain4j Core Concepts: REST APIs, Microservices, Multithreading, Design Patterns, System Design, Multi\-Tenancy DB / Caching / Search: MySQL, Redis, Apache Solr, AstraDB \(Vector DB\) Cloud &amp; DevOps: AWS \(EC2, RDS, Lambda, S3, SES, SQS\), Jenkins, Docker, Linux Testing &amp; Quality: JUnit, Mockito, JMeter, SonarQube Integrations: Azure SSO, Chargebee, GMeet, AI Interviewer Emerging Tech: RAG Pipelines, Langchain4J, Spring AI Tools: Git/GitHub, Grafana, Postman, GitHub Copilot, Cursor, Claude

## Location

Pune/Pimpri\-Chinchwad Area

## AI stack

claude

cursor

## Work experience

Java Developer at Talentica Software, Aug 2024 \- Present · 2 yrs, Pune District, – Redesigned the MCP server architecture by implementing dynamic AI agent registration using Firebase Firestore, eliminating code changes and deployments for agent lifecycle management\. – Cut resume parsing cost by 90% by replacing RChilli with a custom ChatGPT API integration, eliminating third\-party vendor dependency entirely\. – Reduced customer onboarding time by 66% \(90s → 30s\) via DB cloning, multithreading, and async workflow redesign across microservices\. – Optimized 50\+ schedulers across distributed microservices, reducing memory footprint and execution overhead\. – Designed AI Scoring Framework using GenAI APIs to generate real\-time candidate\-to\-position match insights; integrated Azure SSO and Chargebee for enterprise auth and billing\. – Optimized Excel export pipeline for 200k\+ cells, cutting write time from 4m 30s to ∼1 minute \(4\.5× speedup\); mentored junior developers and led code reviews enforcing SOLID and design patterns\. – Tech: Java 17, Spring Boot, Microservices, Redis, Apache Solr, MySQL, AWS, Jenkins, Docker

Project Engineer at Wipro, Apr 2022 \- Aug 2024 · 2 yrs 5 mos, On\-site, – Developed and maintained REST APIs for Hitachi Energy’s EV Charging Management platform; strengthened microservice reliability via API authentication hardening and error\-handling improvements\. – Integrated Grafana monitoring and executed JMeter performance tests with SQL query optimization, improving service throughput by ∼20%\. – Tech: Java 11, Spring Boot, MySQL, Docker, Linux, JMeter, Git

Chemistry Matter Expert at SpeEdLabs, Dec 2020 \- Jan 2021 · 2 mos

Subject Matter Expert at askIITians, Jul 2020 \- Jan 2021 · 7 mos

## Education

Bachelor of Technology \- BTech, Material Science and Metallurgy, Maulana Azad National Institute of Technology

12th standard, MP board, Govt\. Multipurpose Higher Secondary School, Indore

## Public links

- github: https://github\.com/modinilesh

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

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