- Resolve issues across Windows and Mac OS, including email clients, Microsoft Office 365, VPN software, MFA, and cloud-based file hosting platforms (Box, Google Drive) to facilitate work for faculty, staff, and students.
- Document and track ~50 support tickets weekly, contributing to service desk documentation and knowledge base resources to improve resolution efficiency.
- Mentor newer consultants in troubleshooting and resolution strategies, effective communication, and workplace procedures to ensure seamless knowledge transfer and sustained customer satisfaction.
- Implemented estimator formula for zeroth-order stochastic gradient descent algorithm using PyTorch library to reduce memory usage without compromising model accuracy.
- Preprocessed open-source binary classification image datasets used to train and assess model in NumPy.
- Improved initial model accuracy by 17% by refining algorithm and fine-tuning hyperparameters.
- Designed and presented research poster to 350+ attendees within USC Viterbi Engineering community.
ClubFinder
(In progress) A website that centralizes club information for students to explore and get plugged into student organizations more easily.
Project Mousie
A hands-free computer mouse tailored to an end user with PD-related tremors. Developed algorithm and UI for software that executes mouse clicks triggered by user blinking.
ML Research at USC
Estimator for zeroth-order stochastic gradient descent algorithm developed by Devansh Gupta, my mentor at USC. Includes training and comparison of existing models to gauge performance.
Delay Relay
A website displaying the analysis of a flight delay dataset, including data visualizations and ML model performance.
University of California, Los Angeles
B.S. Computer Science and Engineering
Relevant Coursework
I'm actively looking for internships starting 2027. If you're working on something interesting or just want to chat, my inbox is always open.
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