Experience

Rice University

• Undergraduate Research Assistant @ Rush Lab

  • Jan 2023 - Present

  Working on the BLISS (Balanced Index for Scalable Search) machine learning algorithm that uses iterative re-partitioning to perform large-scale classification. Adapting the BLISS algorithm to implement class-incremental learning using Tensorflow and PyTorch Working on the BLISS (Balanced Index for Scalable Search) machine learning algorithm that uses iterative re-partitioning to perform large-scale classification. Adapting the BLISS algorithm to implement class-incremental learning using Tensorflow and PyTorch



GE HealthCare

• EEDP Software Engineering Intern

  • May 2023 - Aug 2023

  Modified a CT service tool to use the latest microservices architecture. Created a new Angular-based frontend from scratch and migrated its backend to Springboot. Configured the application to be deployed to a Kubernetes cluster on the CT machines. Modified a CT service tool to use the latest microservices architecture. Created a new Angular-based frontend from scratch and migrated its backend to Springboot. Configured the application to be deployed to a Kubernetes cluster on the CT machines.



Case Western BrIC Laboratory

• Machine Learning Research Intern

  • Jun 2021 - Aug 2022

  Performed deformation feature extraction and survival analysis on MRI data using R, Python, Tensorflow, and Keras. Executed the entire preprocessing pipeline (quality control, bias correction, mask generation, labeling, etc.) to prepare data for analysis. Performed deformation feature extraction and survival analysis on MRI data using R, Python, Tensorflow, and Keras. Executed the entire preprocessing pipeline (quality control, bias correction, mask generation, labeling, etc.) to prepare data for analysis.



Monta Vista Robotics Team

• Director Of Electrical Engineering

  • Aug 2018 - Jun 2022

  Led the electrical division & oversaw the design and wiring of the robot's electrical subsystem. Led team that designed an improved wheelchair that promotes the fitness of paraplegic people. Trained incoming rookies on topics such as soldering, crimping, and pneumatics. Led the electrical division & oversaw the design and wiring of the robot's electrical subsystem. Led team that designed an improved wheelchair that promotes the fitness of paraplegic people. Trained incoming rookies on topics such as soldering, crimping, and pneumatics.



Stanford SISL Laboratory

• Research Intern

  • Jan 2021 - Jun 2021

  Wrote code in Julia to create geographic and statistical visualizations for SISL's research on modeling COVID-19 cases to inform public policy. Built a Python tool to automatically generate GIFs illustrating the spread of COVID-19 in a community over time. Wrote code in Julia to create geographic and statistical visualizations for SISL's research on modeling COVID-19 cases to inform public policy. Built a Python tool to automatically generate GIFs illustrating the spread of COVID-19 in a community over time.



IpserLab

• Software Engineering Intern

  • Feb 2020 - Apr 2021

  Developed a JavaScript/HTML/Ajax based web platform that directly connects farmers to consumers, serving as a "virtual farmers market." Implemented various features including the shopping cart, webpage lazy-loading, and a dynamically-expanding table. Developed a JavaScript/HTML/Ajax based web platform that directly connects farmers to consumers, serving as a "virtual farmers market." Implemented various features including the shopping cart, webpage lazy-loading, and a dynamically-expanding table.



Harvard NSAPH Laboratory

• Research Intern

  • Jun 2020 - Dec 2020

  Created a RShiny web application that visualizes the data and results from a national study on long-term exposure to air pollution and COVID-19 mortality in the United States. Preprocessed daily data for COVID-19 deaths and air pollution in US counties to analyze the correlation. Created a RShiny web application that visualizes the data and results from a national study on long-term exposure to air pollution and COVID-19 mortality in the United States. Preprocessed daily data for COVID-19 deaths and air pollution in US counties to analyze the correlation.