Kinlia – Building the core web and mobile application architecture with TypeScript, React, and React Native, ensuring scalability, shared logic, and maintainability. Delivering polished UI components from Figma, iterating with user feedback, and setting up modern workflows with AI pair programming, component-driven development, and CI/CD.

PitchScoop – Leading frontend development for an AI-powered pitch coach. Shipped interactive recording, scoring, leaderboards, and feedback interfaces across web and mobile. Integrated Gladia (transcription), OpenAI (analysis), and Redis/LlamaIndex (real-time leaderboards). Delivered a full end-to-end system (frontend, backend, tests, Dockerized infra) that won First Place for innovation and usability.

• Designed and led the development of a Chrome extension that automates job application saving through web scraping and HTTP API requests, streamlining the process directly from job boards.

• Built a web application using React, Typescript, and MUI to manage job applications, generate practice questions, and evaluate code repositories.

• Integrated Stytch for secure user authentication, ensuring seamless integration between the extension and web app, and implemented Rollbar for robust error tracking.

• Developed scalable Python/FastAPI backend handling concurrent API requests to GitHub and OpenAI APIs, implementing async processing for code evaluation and AI-powered question generation, serving 50+ active users.

• Developed a dynamic Django-built web application to refactor and implement functionality for students and administration in a 40k LOC learning management system while maintaining 98% test coverage

• Designed announcement notifications and built a robust admin panel, including advanced filters, search functionality, prepopulated fields, and validation checks to improve efficiencies in admin workflows

• Restructured the student assessment submissions application, implementing safeguards to prevent data loss or duplication in the database caused by multiple submissions

• Applied Irvings Stable Roommates Algorithm to automate the process of student pairing for exercise sprints, resulting in efficient and fair pairings

• Created a user-friendly Django application for students to express their pairing preferences, ensuring optimal collaboration and engagement during sprints

• Generated comprehensive staff reports on the formed student pairs, aiding instructors in tracking progress and assessing team dynamics

• Contributed code through agile sprints collaborating closely with product owner for requirements and iterative feedback

• Organized emails, customer records, and events

• Observed and identified clinical symptoms and abnormal behavior

• Organized and taught animal behavior courses for new employees

• Provided strategies to promote customer growth and brand awareness online

• Managed email campaigns as well as provided customer service