resume

B.S./M.S. in Computer Science

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

• Organizations
  • Computing Community (Association of Computer Machinery @ University of Washington)
  • National Center for Women & Information Technology (NCWIT)
• Relevant Coursework
  • 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

Software Engineer Intern, Productivity Engineering

LinkedIn

• Deployed to production a cloud cost optimization dashboard, becoming the company-wide entry point for Azure efficiency insights across $100M+ annual spend.
• Built backend services in Python/MySQL to fetch real-time Microsoft Cloudfit efficiency recommendations, optimized with multi-table joins, caching, and schema validation.
• Developed frontend features in TypeScript/React with Grafana-powered historical spend trends and actionable cost-saving recommendations.
• Integrated frontend and backend via gRPC, eliminating REST middleware, reducing latency, and establishing a scalable pattern for future tools.

Teaching Assistant, CSE 446/546 Machine Learning

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

• Supported a joint undergraduate/graduate course on machine learning algorithms and applications, covering supervised/unsupervised learning, regression, classification, deep learning, kernel methods, and optimization.
• Taught 4 sections (35 students each) across multiple quarters; designed and delivered content with annotated slides, live-coded demos, and original problem sets in Python, NumPy, Scikit-learn, and PyTorch.
• Led weekly 50-minute recitations and office hours and collaborated with faculty and TAs on grading, exam design, and assignment development.

Software Development Engineer Intern, Selection and Catalog Systems

Amazon, Seattle, WA

• Developed a FilterAnalyticsTool pipeline using AWS CDK to provision infrastructure with S3, DynamoDB, and SQS for managing duplicate product listings, logs, and reports.
• Implemented a Java Lambda function to process product pairs and generate validation logs, and a Python Lambda function for analytics and Jupyter-based reporting.
• Automated duplicate listing validation with an SQS Queue and QueueProcessor, reducing manual on-call investigation time by 80%.
• Improved duplicate product merge accuracy by 15% and reduced data errors by 50% through validation checks and automated analytics generation.

Student Researcher, Neural Decoding Models

Neural Systems Laboratory, UW CSE

• Contributed to scaling law research for neural decoding models from millions to billions of parameters using AutoLFADS and Neural Data Transformers (NDT 1/2).
• Preprocessed large-scale datasets (e.g., IBL) and built training pipelines in PyTorch with Hydra.
• Evaluated model generalization across scales to guide architectural and training decisions.

Full-Stack Web Developer

University of Washington, College of Engineering, Seattle, WA

• Developed a scholarship app with PHP, Laravel, and Filament, serving 8,000+ visitors and increasing engagement.
• Applied Agile practices to deliver features on time, improving efficiency by 20%.
• Enhanced database performance by optimizing MySQL queries and improving responsive design.

Data Analyst Intern

Axos Bank, San Diego, CA

• Automated financial validation with Python/Pandas, saving 40+ hours per month and improving accuracy.
• Presented AI integration strategies with Microsoft Copilot to executives, improving operational efficiency.
• Built SQL queries and interactive Tableau dashboards, enabling data-driven decisions.
• Earned Best Capstone Project Award for impactful contributions.

Software Developer & Product Owner Intern

San Diego Supercomputer Center, San Diego, CA

• Led an 8-person team developing a fitness social app with Django, React, MySQL, gaining 70+ active users.
• Ran daily standups, code reviews, and sprint reviews for 100+ interns.
• Implemented instant messaging and live updates, boosting user engagement.