Key Achievements

• Maintaining and scaling an academic TraceTool used in CSE 115 and 116, enabling students to trace code execution and visualize memory state, supporting 500+ students annually and 5,000+ submissions per semester
• Onboarding into a large existing codebase while contributing to system scalability efforts focused on multi-institution deployment, higher concurrency, and reliable handling of peak submission loads
• Working with course staff to ensure correct and consistent memory modeling and tracing behavior, improving reliability and clarity of the tool as student usage continues to grow

Technologies

Key Achievements

• Built scalable backend systems with FastAPI and Docker for AI-powered applications
• Optimized machine learning workflows using LangChain and Ollama for efficient model deployment
• Developed secure, reliable multi-agent routing systems for complex AI task execution
• Implemented prompt-based task execution frameworks for enhanced AI interaction capabilities

Technologies

Key Achievements

• A volleyball app that combines stat tracking and social networking allowing players to record game performance, share highlights, and connect with teammates

Technologies

Features

• Currently developing a real-time hand gesture control system using Python, MediaPipe, and OpenCV with 95% gesture recognition accuracy and under 200ms response time
• Building a modular gesture recognition architecture currently supporting 4+ gesture types (thumbs up/down, fist, palm) using object-oriented design patterns achieving 25-30 FPS real time processing
• Implementing a computer vision pipeline that processes live video streaming with 21-point hand landmark detection, featuring two-phase execution system (200ms activation delay + 600ms cooldown) to prevent false triggers

Technologies

Features

• Engineered an AI-powered security monitoring system using YOLO across 25+ live camera feeds, detecting incidents (fighting, theft, vandalism) with accuracy improving from 75% → 92%
• Built a multi-agent verification system using person tracking and spatial analysis to validate threats
• Integrated real-time video analysis with automated alerting, enabling instant security dispatch via Twilio in under 2 seconds
• Implemented three specialized AI agents working in real-time: Detection Agent (scans feeds using YOLOv8), Classification Agent (identifies incident types), and Analysis Agent (generates timestamped reports)
• Developed interactive 3D campus map with real-time camera status visualization and automated footage archiving with thumbnails and metadata

Technologies

Features

• Built high-quality audio streaming with support for YouTube
• Implemented playlist management with load functionality and queue persistence
• Created interactive commands for play, pause, and skip
• Developed user-friendly interface with real-time status updates
• Added support for multiple voice channels and server-specific configurations

Technologies