About
I’m a third-year Computer Science student at the University of Georgia (Franklin College of Arts & Sciences), graduating December 2026. I focus on full-stack development, machine learning, and turning research into production-ready tools — from harmonic playlist matching and emotion-to-playlist apps to RNN-based genre classification and child vocalization detection.
Experience
- Software Developer Intern, Bravura Technologies (Roswell, GA) — June 2025–Aug 2025. Built an automated email-matching system integrating HubSpot CRM with Hunter.io; built an AI-powered web scraping pipeline (Python, BeautifulSoup/Selenium) for 600+ US trade show events, aggregating 1,000+ leads and cutting manual research time by ~70%.
- Software Developer Intern, Bravura Technologies (Roswell, GA) — May 2024–Aug 2024. Produced an AI-based PDF-to-SVG floorplan processing system that detected booth boundaries and labels, cutting manual layout time by ~90%; collaborated with Prof. Vasant Dhar and cross-functional teams to turn research AI models into production-ready prototypes.
- Student Researcher, UGA CURO (Athens, GA) — June 2025–Present. Performance analysis of deep-learning models for child vocalization detection on naturalistic audio; extending Python training and evaluation pipelines, hyperparameter tuning, and benchmarking against human-labeled data.
- Student Research Intern, KSU (Marietta, GA) — Jan 2023–May 2023. Designed and trained an RNN in TensorFlow for music genre classification (>90% accuracy); worked on interpretability and helped develop materials for undergraduate AI coursework.
Technical skills
- Languages: C, C++, Java, Python, TypeScript, JavaScript, SQL
- Web & app: React, Next.js, Vite, Flask, HTML, CSS, Tailwind
- Infrastructure & tools: PostgreSQL, MongoDB, Docker, Git, Linux/Unix
- ML & data: PyTorch, TensorFlow, Keras, Hugging Face, RNNs, computer vision, exploratory data analysis
Education
B.S. in Computer Science, University of Georgia — GPA 3.82/4.00. Relevant coursework: Data Structures & Algorithms, Systems Programming, Software Development, Software Engineering, Computer Architecture, Artificial Intelligence, Combinatorics, Applied Linear Algebra, Discrete Math, Computing Ethics.