About Me
Get to know me!
I'm a senior Computer Science student graduating in December 2025, and I've just finished my exchange semester at UC Berkeley. During my time at Berkeley, I got to build several MVPs and pitch to VCs, where I learned a lot about solving the right problems and building fast. I'm currently working as a Software Engineer intern on mobile for Banter, an AI Messenger startup. I love building things that make people's lives easier and I'm passionate about creating innovative solutions and exploring new technologies.
When I'm not coding, you can find me playing table tennis, getting lost in interesting podcasts, or reading about new tech. Always up for learning new things and meeting fellow developers!
My Tech Stack
Languages:
Swift
Python
JavaScript
TypeScript
Objective-C
SQL
C++
Frameworks/Tools:
SwiftUI
Xcode
Next.js
PostgreSQL
Docker
TestFlight
Git/GitHub
Langchain
React Native
AVFoundation/Speech Framework
OpenAI API
Claude API
Google Cloud
Testing:
Cypress
Jest
Unit/Integration/E2E Testing
Other:
Agile/Scrum
Product Management
Figma
Jira
Slack
Projects
Spatial Computing learning Platform for Medical Students
- Developed an innovative VisionOS application for medical students, featuring 3D organ visualization and interactive quizzes.
- Utilized Swift, SwiftUI, RealityKit, and ARKit, with a MySQL backend and RESTful API for efficient data management.
- Collaborated with a multidisciplinary team to ensure accuracy and educational value.
- Presented the project at the computer science program's 50th anniversary, demonstrating its potential impact on medical education.
VisionOS
SwiftUI
Swift
ARKit
MySQL Server
Oracle Cloud Infrastructure
iOS Voice-Controlled Charcoal Sales Assistant for Blind Elderly Entrepreneurs
- Currently building a voice-first iOS app with SwiftUI and SFSpeechRecognizer for blind entrepreneurs, integrating Claude API with MCP servers.
- Implemented ConvexDB for real-time inventory sync and voice-controlled cash tracking ("record sale: 2 bags, $40").
- Achieved 100% hands-free operation using AVAudioEngine and AVSpeechSynthesizer for continuous audio feedback.
SwiftUI
iOS Development
SFSpeechRecognizer
Claude API
MCP Servers
ConvexDB
AVAudioEngine
AVSpeechSynthesizer
TestBuilder Platform
- Developed a comprehensive test management platform using Next.js 14, TypeScript, and Supabase, enabling organizations to create, assign, and evaluate assessments through an intuitive interface.
- Implemented real-time test building functionality with drag-and-drop module management, dynamic question types (multiple-choice, true/false, open-ended), and automated grading capabilities.
- Developed a scalable testing platform with group assignments and customizable templates using Tailwind CSS and shadcn/ui, implemented React API for notifications and secure authentication, delivering streamlined experience for administrators and test-takers.
Next.js 14
TypeScript
Supabase
PostgreSQL
Tailwind CSS
shadcn/ui
React Query
MediAgent - Medical Device Sales Platform
- Developed a comprehensive SaaS platform for medical device sales teams using Next.js, TypeScript, and Supabase, featuring interactive dashboards with real-time sales metrics, lead tracking, and revenue forecasting for products like WoundTrack Pro.
- Implemented an AI-powered lead generation system that identifies and qualifies healthcare prospects based on specific criteria, with detailed lead profiles containing company information, contact details, and match scores to optimize sales targeting.
- Created a personalized email generation system that automatically drafts outreach messages based on lead data, while building a responsive UI with Tailwind CSS and shadcn/ui components for seamless cross-device experience.
Next.js
TypeScript
Supabase
PostgreSQL
Tailwind CSS
shadcn/ui
AI Integration
Vercel
AI-Powered Presales Management Platform (Neoris)
- Developed a full-stack AI solution to streamline presales software workflows, leveraging PostgreSQL, Supabase, Langchain, and vector embeddings with pg_vector for RAG (Retrieval-Augmented Generation), integrated with Ollama for LLMs.
- Built a robust frontend using Next.js and TypeScript, while focusing on advanced backend engineering with PostgreSQL, including procedures, triggers, RLS, and Supabase Storage for file management.
- Collaborated within an Agile team to enhance performance and security, actively participating in sprint planning, iterative development, and team reviews. Integrated Microsoft Teams API for seamless collaboration.
Next.js
TypeScript
PostgreSQL
Supabase
Langchain
RAG
Ollama
Agile Development
Microsoft Teams API
Recursive AI
- Engineered the frontend interface of a startup platform for AI Agents to create a hierarchy of tasks, delegating to multiple agents such as Sales, Recruiting and General.
- Implemented a detailed view of each AI Agent's status and data using React, TypeScript, Next.js 15, and React Flow.
- Built an intuitive drag-and-drop interface for task management and agent configuration, with real-time updates and state management.
React
TypeScript
Next.js
React Flow
Tailwind CSS
PlayVision Landing Page
- Developed and Designed PlayVision's landing page using Next.js, TypeScript, and Tailwind CSS, featuring interactive team cards and dynamic scroll-based animations.
- Implemented key components including an auto-playing video showcase, custom UI elements with gradient animations, and a responsive navigation system.
- Optimized performance through Next.js Image optimization and lazy loading while maintaining a modern, responsive design across all devices.
Next.js
TypeScript
Tailwind CSS
React
Animation
Responsive Design
Github Issues Clone
- Created a Fullstack Github Issues Clone using NextJS 14, Supabase with PostgreSQL as a Backend Service utilizing, added realtime commments, AI semantic search for tickets, added file storage for view images with previews, multitenancy for different tenants, implemented Row Level Security to ensure data safety
Next.js
TypeScript
PostgreSQL
Supabase
Semantic Search
OpenAI API
Traffic Simulation to improve local traffic
- Developed an advanced traffic simulation system using Python and Unity, combining data analysis with 3D visualization to model urban traffic patterns and optimize flow efficiency in real-time.
- Implemented AI-driven vehicle behavior and pathfinding algorithms in C#, along with Matplotlib visualizations for traffic density analysis, resulting in actionable insights for reducing congestion and improving traffic management
Python
Matplotlib
Unity
C#
Rest API
Contact Me
Feel free to reach out! I'm always interested in hearing about new opportunities, collaborations, or just having a chat about technology.


