Increased worldwide customer adoption of Amazon Business's Pay By Invoice service by launching an event-based notification system using AWS Lambda, SQS, and SNS with AWS CDK
Led a migration responsible for handling 1.2 million monthly email notifications by acting as the main point of contact for migrating and service-owning teams, ensuring a seamless transition with zero outages
Instituted and organized team hackathons, team events, and knowledge transfer sessions to develop tools that generate on-call reports, foster collaboration, and build stronger interpersonal relationships for long-term productivity
Secured vulnerable endpoints by implementing a reusable Spring annotation to validate incoming requests, reducing the risk of unauthorized access
Migrated Amazon Business’s “Pay By Invoice” service onto Native AWS using ECS clusters to enable CloudWatch Container Insights for enhanced application monitoring and autoscaling capabilities
Reengineered the Pay By Invoice onboarding page UI by introducing proper user input validation and developing reusable components with React hooks and Redux, resolving reoccurring ticket issues
Increase revenue by 10% per booking by developing a MERN stack vacation property website from scratch with TypeScript, AWS Lambda/S3, and JWT authentication to eliminate reliance on third-party services
Boosted return customer bookings by 25% by integrating QR codes linking to the website into all property handbooks
Led a strategic marketing campaign in collaboration with property owners, leveraging a mailing list to successfully promote the new web application to previous / perspective guests, boosting property exposure
Automated CMTS (Cable Modem Termination System) monitoring scripts using Python and SSHv2 API protocols
Eliminated reliance on third-party services by developing a web application using Flask, JavaScript, and Python to centralize all CMTS monitoring data from 5 customer companies
Analyzed CMTS monitoring data by automating R scripts to compare hardware performance after customer upgrades
Improved an NLP search engine’s accuracy by 28% by implementing a text crawler with Python/BeautifulSoup to prefill a database with key page metadata used in querying
Tested the NLP search engine by implementing a bot to search a random set of keywords to show a reduction of 'no results found' outcomes
Implemented interactive blogging features on DreamKit’s homepage to promote community engagement by using Squarespace’s platform
Pushed to create several partnerships by calling existing non-profit organizations in New Haven to expand the reach of DreamKit’s platform
Relevant Coursework
Activities
Implemented and deployed a web application that serves as a centralized platform to connect Yale Students to student freelance services like photographers by incorporating instant-booking mythology
Increased price transparency and exposure to student freelance market
Trained three RL agents to play Qwixx and two Qwixx variants by altering two end-game conditions and optimizing for maximum point accumulation to quantify differences in game quality and study the feasibility of automated game testing
Developed a Flask, Django, and SQLAlchemy web application that allows students at Yale to list and locate lost items on campus