resume

Master of Science in Computer Science

University of Washington — Paul G. Allen School of Computer Science & Engineering

Bachelor of Science in Computer Science

University of Washington — Paul G. Allen School of Computer Science & Engineering

• Machine Learning, Deep Learning, Natural Language Processing (NLP)
• Systems for Machine Learning, Distributed Systems, Systems Programming
• Quantum Computation, Probability & Statistics
• Data Structures & Algorithms, Hardware–Software Interface, Security
• Quantitative Statistics, Advanced Linear Algebra, Multivariable Calculus

• Computing Community (Association of Computer Machinery @ UW)
• National Center for Women & Information Technology (NCWIT)

Teaching Assistant, Machine Learning (CSE 446/546; CSE 416)

Paul G. Allen School of Computer Science & Engineering, University of Washington

• Led weekly recitations, held office hours, and graded for both an introductory ML course (CSE 416) and an advanced graduate ML course (CSE 446/546).
• CSE 446/546: maximum likelihood, linear models, kernel methods, gradient-based optimization, deep networks (CNNs, RNNs, attention), and unsupervised learning (PCA, GMMs, non-parametric).
• CSE 416: regression/regularization, decision trees, ensemble methods, PyTorch labs, recommender systems.

Software Engineer Intern, Productivity Engineering

LinkedIn

• Deployed an Azure cost-optimization dashboard used company-wide to monitor $100M+ annual spend.
• Built Python/MySQL backend to fetch real-time Microsoft Cloudfit efficiency recommendations and TypeScript/React + Grafana frontend for spend trends.
• Integrated services via gRPC, eliminating REST middleware and reducing latency while creating a scalable pattern for future tools.

Software Development Engineer Intern, Selection & Catalog Systems

Amazon

• Automated duplicate-product validation, cutting manual on-call work by 80% and improving merge accuracy by 15%.
• Developed FilterAnalyticsTool pipeline with AWS CDK, provisioning S3, DynamoDB, and SQS for logs and reports.
• Created Java Lambda for product-pair validation logs and Python Lambda for analytics and Jupyter-based reporting.

Full-Stack Web Developer

University of Washington, College of Engineering

• Developed a scholarship application platform in PHP/Laravel/Filament serving 8,000+ visitors.

Data Analyst Intern, Technical Accounting

Axos Bank

• Automated transfer of Oracle financial data to Tableau using Microsoft Power Automate, replacing a manual daily download and refresh.
• Built scheduled and cloud flows that save emailed Oracle reports to OneDrive and auto-update Tableau data sources.
• Saved 40+ staff hours per month and improved accuracy of recurring financial dashboards.

Software Developer & Product Owner Intern

San Diego Supercomputer Center

• Led an 8-person team building a fitness social app with Django, React and MySQL, reaching 70+ active users.
• Ran daily stand-ups, code reviews and presented to 100+ interns.
• Implemented instant messaging and live updates to boost user engagement.

Student Researcher, Large-Scale ML Models & Neural Data Transformers

Neural Systems Laboratory, UW CSE

• Built PyTorch data pipeline for large-scale International Brain Lab spiking datasets; wrote custom dataloaders for multi-session tensors and implemented multi-mask self-supervised masking schemes.
• Implemented and tuned Neural Data Transformer (NDT) models with causal attention and Poisson log-likelihood objectives; ran large-scale training and hyperparameter sweeps on A40/L40 GPUs.

Investigating Error Patterns and Model Interpretability for Medical Image Classification

Paul G. Allen School of Computer Science & Engineering

• Trained and evaluated CNN, ResNet-50, and EVA-CLIP models on the OrganCMNIST abdominal CT dataset.
• Applied Grad-CAM, LIME, and occlusion analysis to identify recurring misclassification patterns and explain model decision rationale.

Executive Officer — Social Event Coordinator

Computing Community @ UW (Association for Computing Machinery)

• Organized large-scale technical/social events for 1,000+ students; managed timelines, tasks, and budgets for the Allen School’s largest student org.
• Led department-wide events (Fall Fest, Winter Ball) with 500+ attendees; chaired committees for research nights, socials, and mentorship programs.

Founder & CEO

STEM to Success, National Nonprofit Organization

• Founded and led Java and Scratch coding camps, impacting 200+ students and raising $2,000+ for the Boys & Girls Club through fundraising efforts.
• Orchestrated STEM literacy webinars, attracting 70+ attendees and featuring presentations from industry professionals.
• Recognized in the Del Mar Times for impactful community contributions.