PROJECTS
AI-Powered Job Matching Platform
Developer
February 2026
Developed a full-stack job matching platform that lets employers post jobs and job seekers manage applications, with GraphQL APIs, Docker containerization, and AWS S3 resume storage—laying the foundation for AI-powered resume matching.
Technologies Used
Key Highlights
Developed a full-stack job matching platform using React, GraphQL, Node.js, MongoDB, Redis, and Docker, enabling employers to post jobs and job seekers to manage applications
Designed and implemented GraphQL queries and mutations, backend data models, and input validation to support user authentication, job creation, filtering, and profile management
Containerized the application with Docker and integrated cloud services including AWS S3 for resume storage while laying the foundation for AI-powered resume matching
Music Similarity & Audio Analysis Application
Full Stack Developer
2025
Built a web application that accepts MP3 uploads, extracts song metadata, and analyzes musical characteristics to explore music similarity by audio features rather than artist or genre labels alone—establishing the technical foundation for vibe-based song discovery.
Technologies Used
Key Highlights
Developed a browser-based interface served by a Flask backend with API routes for audio upload and analysis
Implemented MongoDB-backed account authentication and session-related data storage
Enabled MP3 uploading with metadata extraction via Mutagen
Analyzed uploaded audio with Librosa to estimate and extract musical characteristics from songs
Designed the system around music-similarity exploration through audio features as a foundation for future recommendation work
UCNow – Crime Analysis Web Application
Lead Developer
April 2025
Built a full-stack web platform for visualizing NYC crime data and collecting user-submitted reports, improving access to timely public safety information through interactive charts, filtering, and a secure reporting system.
Technologies Used
Key Highlights
Led sprint planning, structured the codebase, and documented architectural decisions, streamlining onboarding and team collaboration over the course of the project
Built a full-stack web platform for visualizing NYC crime data and collecting user-submitted reports, significantly improving access to timely public safety information
Implemented interactive charts and filtering tools for crime trends, alongside a secure reporting system with validation, moderation, and optional suspect descriptions
GenForce-SW – Solar Project Material Automation & Cost Estimation (.NET Desktop)
Software Engineer Intern
August 2024 – March 2025
Engineered a .NET desktop application to automate material extraction and cost estimation for solar panel projects, with a dynamic pricing wizard that reduced manual processing time and pricing inconsistencies.
Technologies Used
Key Highlights
Developed a .NET desktop application to automate material extraction and cost estimation for solar panel projects, cutting manual processing time by approximately 45%
Integrated a pricing wizard that enabled dynamic cost tracking, helping reduce pricing inconsistencies by around 35%
Tracked development progress across the team and helped maintain project momentum, contributing to on-time delivery of the MVP within a 6-month sprint cycle