A student at UIUC studying Statistics & Computer Science, specializing in Backend and Data Engineering.
Data Engineering for the Cloud Data Platform team, focusing on scalable cloud architectures.
Built low-bitrate AI Vocoders and reduced testing runtime by 90% via automated Bash scripts. Optimized PyTorch Mobile models for embedded Android systems.
Extended the QuaCer-B framework to detect LLM biases using LlamaGuard. Engineered 1,600+ prompts to test safety limits of Hugging Face models.
Deployed a YOLOv9 computer vision model to classify waste with 87% accuracy, processing over 17,000 images.
Taught Object-Oriented Programming in Java/Kotlin to 130 students, achieving a 35% increase in student skill progression.
A RAG-powered LLM tool using LangChain and Pinecone to query Confluence data with a locally-hosted Llama 3.1 model.
View Code →A MySQL-backed travel planner analyzing 45M+ weather records with optimized geospatial queries for personalized rankings.
View Code →A high-speed C++ packet sniffer integrated with a scikit-learn Isolation Forest model for real-time anomaly detection.
View Code →A 3D music visualization platform using Flask, OAuth2, and Three.js to display interactive Spotify analytics.
View Code →