Aug 2024 – Mar 2026 · 1 yr 7 mos · Bengaluru, Karnataka, India

• ◦ Architected and built Razorpay’s Bill Payments service end-to-end, integrating with existing payment systems and enabling NPCI BBPS certification.
• ◦ Drove DDD adoption, standardized Go services, and built LLM-based automation (Claude Skills) for gateway integrations with auto PR generation.
• ◦ Led the design and development of “Card Sync” for card payments via CRED Pay, enabling device-tokenized card linking and frictionless one-click card payments on checkout across Razorpay merchants
• ◦ Built a scalable data ingestion pipeline using Spring Batch, AWS AppConfig, and DynamoDB to ingest and live-serve 10M+ device-user mappings daily for CRED eligibility resolution.
• ◦ Implemented end-to-end card linking and tokenization flow with partner apps (e.g., CRED), including payment redirection, secure token exchange, and saved instrument refresh to enable one-tap payments.
• ◦ Designed a scalable ingestion pipeline for Razorpay Pixel, enabling seamless collection and processing of user activity events generated by the UI, leveraging Kafka, Trino, and MySQL.
• ◦ Reduced query execution time by over 80% through the implementation of effective indexing strategies, significantly enhancing database performance and efficiency.
• ◦ Implemented a wallet integration platform, enabling seamless onboarding of new wallets in 1 day through configuration updates, reducing integration effort by 60%

Jan 2024 – Aug 2024 · 7 mos

• ◦ Designed a data ingestion pipeline for an Inventory Management System on the DR Platform using MongoDB, Elasticsearch, and Kafka, optimizing event processing and ensuring daily inventory reconciliation.
• ◦ Designed and developed the Consumer Finance and Insurance System, slashing loading time to 200ms by replacing the outdated polling system with the new architecture.

Jul 2022 – Dec 2023 · 1 yr 5 mos

• ◦ Designed and implemented an Aerospike-based caching service, driving substantial performance improvements and data processing stability, leading to a 300ms reduction in page load time.
• ◦ Demonstrated proficiency in software development by introducing various features such as Multi-site, prequalify, Disclosure Management System, and Common Caching, utilizing JAVA, MongoDB, Kafka, Elastic Search, and Aerospike technologies, thereby increasing dealer onboarding by 40% and expanding business reach.
• ◦ Managed lead generation service for multiple dealerships, optimizing processes including lead generation, data acquisition, and sales, resulting in a 50% increase in lead creation.
• ◦ Resolved long-standing technical debt, enhancing code quality, and preventing future issues, which led to a 30% decrease in code review time. Spearheaded system stabilization efforts, reducing production bugs by 40%
• ◦ Collaborated effectively with multiple teams, resolving dependencies and meeting diverse requirements

Jan 2022 – Jun 2022 · 5 mos

• 1. Learned and incorporate the good coding principle of JAVA.
• 2. Build the CRM Planner Application by aggregating data from multiple CRM sub modules to show data in an easily digestible, calendar grid view in production.
• 3. Build the School management system demo project using JAVA, Spring Boot, Mongo DB, and Elastic Search.

May 2021 – Jul 2021 · 2 mos · Bangalore Urban, Karnataka, India

• Learned and incorporated software engineering process improvements and best practices.

Aug 2020 – Dec 2020 · 4 mos · Malaysia

• Achieved 96.4% accuracy on the test set by applying different kinds of Machine Learning algorithms to the data which need to be classified into different activities based on Human Activity Recognition.