---
title: "Abhishek Chintalwar - Specialist Programmer in Bengaluru | Tal"
description: "Meet Abhishek Chintalwar, Specialist Programmer@Infosys | Java, Spring Boot, AWS, Kafka, Distributed Systems | Hackwithinfy’2022 Finalist based in Bengaluru. AI stack includes claude code, codex, and hugging face."
image: "https://tal.club/meet/abhishek-chintalwar/share-image"
---

# Abhishek Chintalwar on Tal

## Headline

Specialist Programmer@Infosys \| Java, Spring Boot, AWS, Kafka, Distributed Systems \| Hackwithinfy’2022 Finalist

## About

Java backend developer with 3\+ years of experience building scalable, event\-driven systems for real\-time Foreign Exchange \(FX\) trading platforms at Infosys\. I specialize in Spring Boot, Spring Data JPA, Microservices, Apache Kafka, RabbitMQ, PostgreSQL, and AWS \(Lambda, S3, EFS\) — and have shipped systems processing 10,000\+ daily transactions, cut manual effort by 80%, and reduced data latency from 30 minutes to under 5 minutes\. Recently, I've expanded into applied AI: I'm Google\-certified in Gemini Enterprise Agent Development, with hands\-on exposure to Retrieval\-Augmented Generation \(RAG\) pipelines and AI agents\. Recognized at Infosys with multiple Awards for ownership and technical excellence, and a Grand Finalist at HackWithInfy 2022 \(top 100 of 300,000\+ participants\)\. Open to connecting with engineers, recruiters, and teams building at the intersection of Java backend engineering and AI\.

## Location

Bengaluru

## AI stack

claude code

codex

hugging face

langchain

langsmith

Blackbox AI

## Work experience

Specialist Programmer at Infosys, Aug 2023 \- Present · 3 yrs 2 mos, Bangalore Urban, Karnataka, India, Project Title: Distribution system\(Forex platform\) \- ICICI Bank Enterprise\-grade FX Deal Distribution Platform used by dealers for deal placement, limit management, reconciliation, reporting, and real\-time validation — processing 10,000\+ daily transactions\. Key contributions: • Built a real\-time Profit & Loss \(P&L\) engine and led the AutoCover module, cutting manual intervention by 80%\. • Designed Split\-Merge functionality and Excel\-based bulk deal processing \(500 deals/batch\), reducing operations time 30% and improving dealer efficiency 40%\. • Automated end\-of\-day reporting, built a cron\-based reconciliation pipeline on AWS Lambda \+ S3, and engineered a real\-time RBI rate validation service for regulatory compliance\. • Integrated Apache Kafka and RabbitMQ into the Deal Limits module for reliable, event\-driven communication across services\. • Built a resilient AWS Lambda \+ EFS data ingestion pipeline \(Spring Boot scheduler, Spring Data JPA/Hibernate, PostgreSQL\), cutting data latency from 30 minutes to under 5 minutes\. • Wrote unit/integration tests \(JUnit 5, Mockito\) and maintained CI/CD via GitHub Actions\. Tech stack: Java, Spring Boot, Spring Data JPA/Hibernate, Microservices, REST APIs, Apache Kafka, RabbitMQ, AWS \(Lambda, S3, EFS\), PostgreSQL, Maven, GitHub Actions

Power Internship at Infosys, Feb 2023 \- Jul 2023 · 6 mos, Bengaluru, Karnataka, India, Project Title: Infosys Knowledge Studio\. Project Description: As a member of the internal project team at Infosys, I actively contributed to the development of the "Infosys Knowledge Studio," a powerful program designed to visualize databases as graphs\. This project aimed to enhance data analysis and comprehension by providing a quick and efficient way to represent complex database structures visually\. Key Responsibilities and Contributions: \- Collaborated with a team of developers, designers, and data analysts to conceptualize, design, and implement the graph visualization feature within the Knowledge Studio application\. \- Utilized JavaScript \(JS\) as the primary programming language to create interactive and dynamic visual representations of data from the Neo4j database\. \- Implemented data retrieval and processing mechanisms to extract relevant information from the Neo4j database and transform it into a format suitable for graph visualization\. \- Designed intuitive user interfaces to display the graph on web pages, allowing users to navigate, explore, and interact with the data in a meaningful way\. \- Documented the project's technical specifications, including the methodologies, algorithms, and libraries used, to facilitate future maintenance and development\. Impact and Achievements: \- The graph visualization feature added to the Infosys Knowledge Studio significantly enhanced the ability to analyze and comprehend complex database structures, thereby improving decision\-making processes for businesses and data analysts\. \- The program's efficient and user\-friendly design enabled users to gain insights from the data quickly and effectively, reducing the time required for data exploration and analysis\. \- The successful implementation of the graph visualization feature received positive feedback from internal stakeholders, leading to increased adoption of the Infosys Knowledge Studio within the organization\.

## Education

Bachelor of Engineering \- BE, Electrical, Electronics and Communications Engineering, Visvesvaraya Technological University

Intermediate, Science, Sri Chaitanya College of Education

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

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