Software Developer

Aug 2021 - May 2025

Developed a common data structure using Python that unifies several input data into one, which cuts down development time by half and improved code maintainability and reusability

Supervised 3 team members with weekly standup and code reviews using emails and Zoom, speeding up progress and maintaining the group’s standard

Evaluated, and refactored two machine learning systems for production to ensure results reproducibility on other machines

Redesigned, and built the main webpage using Figma, HTML, CSS, and Javascript, which improved users flow and content organization

Software Developer Intern

June 2024 - September 2024

Spearheaded EDA to assess voice detection model performance on speech datasets for speech scrambling. Identified key factors influencing model performance and gained valuable insights into ML model exploration.

Incorporated a Transformer-based model (ViTDet) for cough detection using PyTorch, and evaluated the model’s performance on an internal dataset, achieving a 80% accuracy rate

Software Developer Intern

June 2023 - August 2023

Created a web application using HTML, SCSS, Javascript, D3.js that visualizes UMAP data mapping which cuts down QA time by 50%

Integrated API calls to the backend server which connects to an Amazon S3 bucket that fetches and uploads files, adding a layer of security in protecting patients’ data