Optimizing Training Records in EPAM's Telescope Portal : Fixed filtering issues in training records by refactoring JPQL queries with checks and dynamic conditions, reducing support tickets by 91%. Improved debugging through centralized log analysis using the ELK stack, and validated APIs with Postman.
Skill Endorsement System : Built an internal system to endorse employees for technical and soft skills, aiding HR in skill mapping. Developed REST APIs with Spring Boot, and implemented RBAC for secure access. Designed dynamic JPQL queries to fetch top-endorsed employees by skill, department, and project.
Software Development Engineer
Amazon Development Centre
Bangalore
08.2021 - 12.2023
Monitoring Framework for Checkout Plugins : Designed, implemented and launched a monitoring framework for Checkout Plugins, providing partners with standardized metrics for performance insights, optimization, trend identification, and issue resolution. Single-handedly led a successful initiative to onboard 250+ plugin partners to the framework, standardizing performance metrics and enhancing adoption. Reduced shared testing environment downtime by 96%.
Boosting Shared Dev Stability : Implemented automated integration tests and documented troubleshooting steps for Checkout's Plugin testing environments, reducing downtime from ~40 hours to ~1.5 hours on average. Achieved a 96% decrease in downtime duration, improving environment availability and accelerating plugin adoption, thereby enhancing partner satisfaction.
In-Context Thank You Page : Independently built the In-Context Thank You Page (TYP) feature, which appears as a bottom sheet on the product details page, eliminating full-page redirection. Led front-end development, creating a tailored layout exclusively for orders placed via the details page, driving a $13.2M revenue increase.
Worldwide Thank You Page Mobile Layout Cardification : Designed and implemented card-based mobile UI for Worldwide Thank You Page, improving clarity/visual appeal of order details and product recommendations, achieving impact of +$8M in revenue.
Software Engineer
Paytm
Noida
06.2021 - 08.2021
Enhanced code extensibility : Transformed the Soundbox codebase by migrating rental plan logic from code to the database, enabling dynamic rental plan modifications without any code changes, making the code base extensible.
Boosted Soundbox Revenue by $5M with API Fix : Resolved a critical Paytm issue by enabling monthly rental collection for a Soundbox plan. Added a new API field, allowing the Subscriptions team to charge merchants. This fix generated an additional $5M in revenue for Paytm within 2 months.
Education
Computer Science Engineering -
Birla Institute of Technology
Mesra
06.2021
Skills
Data structures and algorithms
Object-oriented programming and design
Design patterns
Low-level and high-level design
Java, Spring framework, React
JUnit and Mockito testing
PostgreSQL, Redis, DynamoDB, Supabase
Version control with Git
API testing with Postman
Kafka for messaging
Project
MockWise– AI-powered Mock Interview Platform (In Progress, 09/10/25)
Built with React (Vite, Router, Monaco IDE), Java Spring Boot (Web, Security, JPA), Supabase Auth (Google JWT), PostgreSQL, Judge0, Anthropic Claude, Maven, Axios.
Simulates coding, system design & behavioral interviews with configurable difficulty, duration, and questions.
Features IDE with Monaco editor, timer, autosave, and Judge0 integration for code execution/validation.