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