• Extended agentic functionality of AI recruiter using OpenAI assistants API and Twilio API to collect

customer feedback and follow up on missed interviews.

• Showcased experimental product functionality to potential investors in series A fundraising, through designing and integrating AI avatar generation enabled via Tavus API and Pipecat Cloud.

• Reduced failures on Express video processing server to near zero by optimizing JavaScript and ffmpeg operations resulting in 80% faster processing speeds.

• Utilized Shadcn and React-Typescript to develop dashboard features including table filters, global platform search, feedback display, and interview labeling.

• Fulfilled key customer requests by enabling features like workflow automation actions, increase visibility into candidate reporting, and extending interviewer functionalities like auto matching.

• Improved software development life cycle of team by building several code generation scripts using Tsoa and Typescript, leading to increased type unification.

• Was responsible for component-based design and architecture of all customer facing UI, coded primarily in React-Typescript using Next.js

• Streamlined sales-onboarding process by fully automating Stripe customer integration, including the automatic creation of subscription and product entities, and automatic billing of a usage based subscription product.

• Constructed back end infrastructure using Pydantic and SQL Alchemy, handling HIPAA-sensitive patient information at scale. Led several different back end migrations using alembic scripts for version control.

• Constructed CI/CD processes in GitHub actions for executing back end API tests with pytest, front end

integration tests with Cypress, automated database versioning with alembic, and deployment to AWS.

• Managed several micro services in AWS including S3 storage for patient files, various Lambda functions, and ECS/EC2 instances.

• Helped increase dental office ROI by up to 20% a month for hundreds of dental clinics across the US, showcasing product value for dozens of investors, aiding in the successful fundraising process of company seed round.

• Founded early stage start-up for building AI-powered software for people with speech-related disabilities.

Collaborated with users with ALS and cerebral palsy for initial feature set and user testing.

• Participated in various startup competitions through the university as well as completing an early application for YC ’24

• Utilized OpenAI APIs including embedding generation and completions APIs to train a model to generate responses in likeness with user information. Built out the application front end using React with Typescript. Handled datastorage using a Postgres DB with Supabase.

• Implemented REST APIs with the Java Spring framework, adding additional functionality to the gap.com

website, including updating customer profile, shipping information, and other back-end services.

• Designed and developed API endpoints using Microsoft Azure services.

• Used Jacoco to analyze and increase code coverage to 85% for several active repositories.

• Improved existing APIs by adding additional functionality as well as more robust unit tests.

• Developed build scripts in YAML, which automated the end-to-end CI/CD pipeline through GitHub Actions.

• Presented work done throughout the entire development life cycle to managers, team members, and fellow interns.

• Created over 100 Python automation scripts leveraging diverse libraries, including pandas and Selenium.

• Used advanced debugging techniques using Chrome developer tools to analyze the functionality of customer websites and assess Captcha implementation techniques.