Nilesh Modi profile photo 1 on Tal

Nilesh Modi

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

Pune/Pimpri-Chinchwad Area

5+ years of work experience

Talentica Software
Aug 20242 yrsPresent

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
Wipro
Apr 20222 yrs 5 mosAug 2024

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
SpeEdLabs
Dec 20202 mosJan 2021

askIITians
Jul 20207 mosJan 2021

Nilesh’s AI Stack

claude
claude
cursor
cursor

Education

Maulana Azad National Institute of Technology

Bachelor of Technology - BTech, Material Science and Metallurgy

Maulana Azad National Institute of Technology

20184 yrs2022

12th standard, MP board

Govt. Multipurpose Higher Secondary School, Indore

20171 yr2018

Join Nilesh and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

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 & 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 & DevOps: AWS (EC2, RDS, Lambda, S3, SES, SQS), Jenkins, Docker, Linux Testing & 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