Software Engineer

5+ years of experience building scalable applications

Specializing in Java, Spring Boot, React, and cloud technologies. Passionate about creating robust, high-performance solutions that drive business success.

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About Me

Software Engineer with 5+ years of experience designing, developing, and maintaining scalable web applications and backend services. Proficient in Java, Spring Boot, React, and cloud technologies.

Technical Skills

Languages

Java 8/17

95%

TypeScript

90%

JavaScript

92%

Python

85%

SQL

88%

Frontend

React.js

92%

Angular 10+

88%

Next.js

85%

Redux

80%

Backend

Spring Boot

95%

Node.js

88%

Express.js

85%

Django

75%

Cloud

AWS

90%

DevOps

Docker

85%

Kubernetes

80%

Database

PostgreSQL

90%

MongoDB

85%

Professional Experience

Software Engineer

JPMorgan Chase & Co

Chicago, IL

Nov 2024 – Current

Refactored critical Spring-based microservices powering investment transaction workflows into modular Spring Boot 3 applications using Java 17, reducing API response times by 25% and cutting latency issues during peak trading windows.
Constructed CI/CD pipelines using GitHub Actions for Java microservices handling daily fund settlements and compliance checks, reducing deployment failures by 70% across staging and production environments.
Configured AWS CloudWatch with tailored alerts and dashboards to track anomalies in market data ingestion and batch reconciliation jobs, cutting average incident resolution time from 3 hours to under 45 minutes.
Designed and deployed AWS serverless architectures with Lambda, S3, and API Gateway to automate ingestion, classification, and archival of regulatory KYC documents, saving over 12 hours of analyst effort weekly.
Developed Cypress-based automated test flows for financial dashboards and transaction portals, paired with JUnit unit testing, increasing test coverage by 60% and significantly improving release confidence.
Containerized batch settlement services using Docker and created matching staging environments, reducing environment-specific bugs and cutting production support tickets by 40% over three release cycles.

Software Engineer

Accenture

Gurugram, India

Feb 2021 – Dec 2023

Engineered RESTful APIs using Java 8 and Spring Boot to handle live product availability, pricing adjustments, and order updates across 250+ retail stores, enabling consistent performance during major festive and flash sale events.
Built and maintained schedulers using Spring Batch and Quartz to automate time-sensitive retail tasks including price markdowns, loyalty rollups, and vendor order consolidations, significantly improving accuracy and timeliness of backend operations.
Led migration of a legacy monolithic JSP-based inventory tracking module to a scalable microservices architecture using Spring Boot, Angular, and PostgreSQL, improving performance, maintainability, and mobile accessibility across multiple device types.
Streamlined core Java components and decoupled tightly bound services into modular microservices with Docker and Spring Cloud, reducing deployment issues, simplifying troubleshooting, and accelerating system recovery during production outages.
Integrated authentication and fine-grained authorization using Spring Security with JWT-based tokens, enforcing strict access control across retail management, order processing, and supply chain operations modules.
Coordinated with DevOps teams to design and implement CI/CD workflows using Jenkins and GitHub Actions for Java-based deployments, improving team productivity and reducing release delays across QA, staging, and production environments.

Junior Software Engineer

Accenture

Gurugram, India

May 2019 - Jan 2021

Automated claims reconciliation reports, medical billing summaries, and lab data syncs using Python and Bash scripting, reducing manual intervention for healthcare support staff and saving 50+ operational hours monthly across multiple provider networks.
Upgraded legacy AngularJS modules to Angular 6+ for patient-facing appointment portals and provider dashboards, improving responsiveness and accessibility on mobile devices for over 4,000 daily active users across clinics.
Streamlined Node.js APIs and redesigned MongoDB schemas to support structured EMR (Electronic Medical Records) data, enabling quicker retrieval and enhancing consistency between frontend interfaces and back-end storage layers.
Architected Postman test collections and integrated API validation into CI pipelines, enabling early bug detection in patient record APIs and reducing UAT timelines by nearly 25%, leading to smoother deployment cycles.
Participated in Agile sprint ceremonies with cross-functional healthcare delivery teams, working on backlog grooming, sprint planning, and retrospectives, which led to improved collaboration and a 20% increase in sprint delivery success rate.

Personal Projects

Innovative solutions showcasing cutting-edge technologies and creative problem-solving

Real-Time Trading Dashboard

Built a comprehensive trading dashboard with real-time market data visualization, portfolio tracking, and automated trading alerts. Features WebSocket connections for live updates, advanced charting capabilities with technical indicators, and risk management tools. Implemented using React.js with Redux for state management and Node.js backend with Socket.io for real-time communication.

Technologies:

React.js

Node.js

WebSocket

Chart.js

Redis

PostgreSQL

Socket.io

Material-UI

View Code

Microservices E-Commerce Platform

Developed a scalable e-commerce platform using microservices architecture with Spring Boot, featuring user management, product catalog, order processing, and payment integration. Implemented API Gateway for service orchestration, distributed caching with Redis, and comprehensive logging and monitoring. Deployed using Docker containers orchestrated with Kubernetes.

Technologies:

Spring Boot

Java 17

Docker

Kubernetes

PostgreSQL

Redis

Stripe API

RabbitMQ

View Code

AI-Powered Code Review Assistant

Created an intelligent code review tool that analyzes pull requests, suggests improvements, and identifies potential bugs using machine learning. Integrates with GitHub webhooks for automatic analysis, provides detailed feedback reports with code quality metrics, and supports multiple programming languages. Built with Python FastAPI backend and React frontend.

Technologies:

Python

FastAPI

OpenAI API

GitHub API

Docker

PostgreSQL

React.js

TensorFlow

View Code

DevOps Monitoring Suite

Built a comprehensive monitoring and alerting system for containerized applications with custom dashboards, log aggregation, and automated incident response workflows. Features real-time metrics collection, anomaly detection using machine learning, and integration with popular notification channels. Supports multi-cloud deployments and provides detailed performance analytics.