- 🔭 I’m currently working on: SWE Internship at Radix Labs!
- 🌱 I’m currently learning: Distributed Systems (I'm building my own database!)
- 📫 How to reach me: [email protected]
- 🛠️ Languages: JavaScript/TypeScript, Python, Java, C, C++, Golang, SQL, HTML, CSS
- 🛠️ Frameworks: React.js, Node.js, Express.js, Firebase, React Native, GraphQL, Gin
- 🛠️ Tools & Testing: Git, JUnit, Chai, Mocha, Golang testing, Figma, Stripe, SendGrid, TailwindCSS
- ⚡ Fun fact: If you like getting disappointed bring me a basketball and I'll show you why I never made it to the NBA 🏀
- 🍓 From-scratch implementation of a nested JSON object tree database in Golang
- ✒️ Full-stack web app to streamline Model UN voting procedures and the collection of speaker analytics for event staff
- 🌐 3,000 users internationally across Canada (every major BC conference), USA, and Europe
- Solo-built from-scratch on React.js, Express.js, Node.js, TypeScript, Firebase, Stripe, SendGrid, Figma
- 🏆 Winning team (1 of 12) among 210 projects
- Web-app that creates narrated movies from any text using text analysis and voice and image generation AI
- Built using: React.js, Flask, AWS, Pytorch, GPT-3, Stable Diffusion, TortoiseTTS, Youtube API
- I developed the project frontend/UI, schemed the interactions between the client, APIs, and backend, and ideated the project
- 🏆 First Place among 122 projects
- 🏆 OpenAI Award
- A web-app that leverages AI to auto-generate real-time presentations from presenter audio input
- Built using: React.js, Flask, JavaScript, MonkeyLearn Keyword API, OpenAI's GPT-3 API, SerpAPI's Google Image Search API
- I worked on the frontend/UI, schemed the broad API and data communication architecture, and ideated the project and pitch
- 🏆 Most Technically Complex
- 🏆 SAP Award
- A scalable way to train GPT-3 on your own data without training a custom model. Chatif.ai scrapes an entire website, parses its content into a database, then answers questions using AI-powered tree traversal.
- Built using: Next.js, Node.js, TypeScript, OpenAI's GPT-3.5 API, Vercel, Apify API, Firebase
- 🏆 Most Creative UI/UX among 33 projects
- Image-to-speech web-app for the visually impaired that reads and transcribes text inside images
- Built using: React.js, Express.js, Google Cloud API
- I mostly worked on the front end of the project using React.js/JSX/JS/CSS
- 🎧 A mobile app that uses machine-learning to curate custom Spotify playlists
- I contribute to the Typescript + React Native front end of the project to make pixel-perfect translations of mockups to functioning code!
- Git to handle code branching/merges on a 10 person development team