Hi. I'm Hannah.

Software Engineer

I'm a coterm student at Stanford studying Computer Science. I have experience in AI and full-stack engineering, but my passion lies in the intersection of AI and medicine.

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Hannah's Headshot

Resume

Experience & Education

Education

Stanford University

Stanford, CA

Bachelor of Science, CS (Biomedical Computation Track)

GPA: 3.92 | June 2025

Master of Science, CS (AI Track)

GPA: 3.89 | June 2026

Coursework: Mining Massive Datasets, AI: Principles and Techniques, NLP with Deep Learning, Continuous Mathematical Methods with an Emphasis on Machine Learning

Columbus Academy

Gahanna, OH

GPA: 4.13 Unweighted, 4.42 Weighted

June 2021

Cum Laude (2020, 2021)

National AP Scholar (2020)

National Chinese Honor Society (2020)

Experience

Verkada

San Mateo, CA

Software Engineer Intern

June-September 2025

  • • Built a voice agent that leverages realtime LLMs for speech-to-speech capabilities using twilio, temporal, golang and openai APIs

Bioinformatics Institute, A*STAR

Singapore

SIPGA Internship Awardee

June-September 2024

  • • Developed a Next.js web app from scratch integrating a tissue segmentation AI model with a custom visualization tool
  • • Integrated AWS services (Amplify, DynamoDB, S3, SageMaker) to manage hosting, the ML pipeline, and backend database operations

Dropbox

Remote

Software Engineer Intern

June-September 2023

  • • Implemented a full-stack development project for Dropbox Enterprise, enhancing functionality by implementing bulk actions using TypeScript, React, and Python for the backend.
  • • Contributed to the redesign and migration of Dropbox Enterprise Members page collaborating closely with the Design team and product manager

Code in Place

Stanford, CA

Curriculum Designer

June-September 2023

  • • Co-authored an online course reader for Stanford's global, virtual computer science class from scratch, creating original and engaging content and examples to illustrate key concepts for students worldwide.

OXOS Medical

Atlanta, GA

Software Engineer Intern

June-August 2022

  • • Developed multiple computer vision models for an X-ray device using Python and TensorFlow, including key point detection and image segmentation models
  • • Managed the entire machine learning pipeline, from data collection and annotation to preprocessing, model construction, and research
  • • Conducted extensive hyperparameter tuning to optimize model performance and ensure accurate results

Skills

Programming Languages

JavaJavaScriptCC++PythonTypeScriptGolang

Tools & Frameworks

React.jsAWSNext.jsNode.jsMySQLGitTensorFlowTwilioTemporalOpenAI Apis

Languages

English (Native)Mandarin Chinese (Intermediate)

Projects

AI, ML, and Full-Stack Development

GridFlow

GridFlow

RL and CV

January-March 2025

Smart traffic light system using reinforcement learning and YOLOv5 for real-time vehicle detection. Implements Q-learning and DQN algorithms for dynamic traffic optimization.

PythonPyTorchSUMO
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CoST: Code Switching Translation

CoST: Code Switching Translation

NLP and ML

January-March 2025

Data augmentation method for code-switching translation using fine-tuned mT5 model. More than doubled accuracy on XNLI benchmark compared to CoSDA.

PythonPyTorch
View Project →
AI-Powered H&E Visualization Tool

AI-Powered H&E Visualization Tool

Full Stack Development

June-September 2024

Web application for H&E-stained histological image analysis with AI-powered cancer cell detection. Features zoom, scrolling, and sliding window visualization.

AWSNext.jsTypeScript
View Project →
Battledart

Battledart

Integrated Systems

March 2022

Interactive Battleship game using magnetic darts on 8x8 sensor grid. Real-time hit detection with custom graphics and hardware integration.

CRaspberry Pi
View Project →