Experiences
Jane Street
May 2025 - Aug 2025Incoming Software Engineering Intern
NimbleRx
Jun 2024 - Aug 2024Software Engineering Intern
• Developed and maintained endpoints and services for Java SpringBoot backend server
• Integrated external API endpoint for pharmacy system signature submissions, resulting in streamlined signature submission for 3000+ patients across 34 pharmacies
• Designed and implemented the surfacing of specific error messages for payment declines/failure, addressing 17% in lost GMV caused by abandoned orders
• Wrote backward-compatible schema migrations for Liquibase PostgreSQL database, ensuring seamless integration and system stability
Floodwatch Research
Apr 2023 - May 2025ML Team Lead
• Published original manuscript, “Sensor Corroboration Enhances Anomaly Detection in Flood Forecasting Systems,” as first author in the MDPI Journal of Sensor and Actuator Networks
o Engineered a novel deep learning based anomaly detection system for validation of live sensor data streams, improving performance by 10.8% compared to state of the art
• Designed and implemented Python cron job to automatically produce and update flood forecasts for the user-facing application, ensuring real-time flood risk information for 10,000+ regions in Vietnam
• Led and mentored team of 6 undergraduate researchers to complete ML projects
UVA CS Department
Jan 2024 - Dec 2024Teaching Assistant
• TA for Computer Systems and Organization 2 (computer architecture, operating systems, C, networks)
UVA Biocomplexity Institute and Initiative
May 2023 - Jul 2023Research Intern
• Built and implemented an end-to-end machine learning pipeline to detect irrigation canals in remote sensing imagery, resulting in a 0.77 F1-Score for the ResUNet model
• Generated 124,000km2 of ground truth images by georeferencing 2851 waterways in 29 satellite images, resulting in 124GB of processed data used for model training, testing, and validation
• Developed a visualization tool in Python that uses GIS to overlay waterways and orchards on satellite imagery, enhancing the ability to interpret, verify, and analyze segmentation model outputs