Engineered and evaluated PyTorch models for adult vs. child speech classification, achieving 93.5% accuracy via cross-validation.
Unified six large-scale datasets, including two private datasets from UCLA's Speech and Auditory Processing Lab, to create a comprehensive training corpus.
Implemented data augmentation using impulse response convolution to mitigate recording artifacts and improve model robustness.
Extracted embeddings using HuBERT, Whisper, and ECAPA-TDNN for robust feature representation.
Benchmarked and optimized neural networks, logistic regression, XGBoost, and transformer models to identify the best-performing approaches.
Enhanced a public dataset using impulse response convolution to simulate diverse recording environments and improve model generalization.
Developed multiple AI models with TensorFlow to classify music genres in real-world contexts, achieving a 34% accuracy improvement over the raw dataset.
Recipe Scout
Next.js
Tailwind CSS
Daisy UI
Express
Developed a privacy-focused web app that allows users to take a picture of ingredients and generate personalized recipes using in-browser YOLO for object detection, sending only detected ingredients to ChatGPT.
Removed the need for external recipe APIs while producing high-quality recipe suggestions.
Integrated secure Google OAuth authentication and stored user recipes in MongoDB.
Enabled social features including recipe sharing, commenting, and feedback forums.
Implemented privacy controls and shareable recipe links for public or private recipes.
Delivered a full-stack AI-powered solution combining computer vision, LLMs, and interactive web technologies.
Developed a modular scouting web application for FRC Team 9084, designed to adapt to any game, improving data collection, organization, and real-time match analysis.
Created dynamic, interactive data visualizations using CanvasJS, enabling the team to identify trends, optimize strategy, and make evidence-based decisions during competitions.
Established and led a scouting team in 2025 to maintain, expand, and iterate on the web app, ensuring it remains actively used and continually improved.
Added features such as customizable reports, team comparisons, and performance trend tracking, making the app a critical tool for competitive success.
