Payments Team

• Improved payment authorization business rule retrieval accuracy by 15-20% by building a RAG system using FAISS vector database, LLM embeddings, and a custom Reciprocal Rank Fusion algorithm across 156K+ semantic chunks in 3 microservices repositories

• Resolved 24 critical test failures across 6 payment systems (57% of team’s fixes), achieving 100% pass rate to unblock holiday releases

• Led release engineering for UCP/RCS production deployments, monitoring shadow releases and identifying issues early to ensure stability during critical release windows

• Instructed a class (30+) on DSA and OOP topics, guiding students to apply concepts to industry situations

• Reviewed common programming mistakes & content misunderstandings. Provided optional office hours.

Amazon Health Services: One Medical

• Built a Mixpanel dashboard to analyze booking conversion funnel, appointment types, user demographics, and cross-platform behavior

• Leveraged Snowflake data to gain insights into user preferences, booking patterns, and cancellation rates across services

• Identified critical drop-off points in the booking funnel, revealing a 25% higher mobile drop-off rate, and uncovered popular appointment types for targeted improvements

Amazon Fulfillment Technologies & Robotics

• Reduced simulation result analysis effort by 90% through an automated data aggregation system built with AWS serverless stack (Athena, Lambda, Chatbot)

• Implemented and integrated a Slack bot to provide real-time simulation metric updates, elevating collaboration within the team

• Maintained and enhanced data aggregation system: fixed permissions, updated queries, and refined output for customer needs

• Architected and implemented an extensive end-to-end test suite for the Workcell Workflow Driver

• Designed and developed a customer support system in Adobe Global Admin Console, in collab with PdM and architecture teams, which lets customers report issues with Adobe products and track their status

• Allowed users to describe the issue in the ticket with corresponding priority

• Org Picker Feature: Provided admins with a hierarchical organizational view of support tickets

• Ticket filtering Feature: Admins could organize the support tickets in open/closed categories