Experience

EyePop.ai

• United States
• Software Development
• 1 - 100 Employee

• Software Engineer I

  • Jul 2023 - Present

  San Diego, California, United States Developing low-code/no-code platform enabling non-ML engineers to utilize the power of computer vision.



EmPRISE Lab

• Education
• 1 - 100 Employee

• Project Engineer

  • Aug 2022 - Feb 2023

  Ithaca, New York, United States Developed localization, motion planning and control for mobile robots to navigate in an environment with obstacles. Managed multiple ROS packages and implemented necessary code changes for real robot deployment. Conducted testing and debugging to ensure optimal performance and reliability of the deployed robotic systems.



Thermo Fisher Scientific

• United States
• Biotechnology Research
• 700 & Above Employee

• Machine Learning Engineer

  • Jun 2022 - Aug 2022

  Carlsbad, California, United States Conducted thorough data analysis on medical image segmentation model and identified weakness in predicting boundaries. Combined distance-based loss with traditional overlapped based loss to improve boundary prediction. Implemented distributed benchmark pipeline to train 20 models on 4 gpus simultaneously.

• AI Engineering Co-op

  • Jul 2021 - Dec 2021

  Carlsbad, California, United States Trained, tuned, and deployed a U-Net model in PyTorch and Keras with 99.5% precision on cell image segmentation. Performed exploratory data analysis on dataset, identified and resolved class imbalance with weighted sampler. Decreased inference time (20%) and compressed GPU usage using AWS SageMaker and AWS Greengrass on Jetson NX. Delivered an engaging presentation to 200 colleagues with diverse backgrounds, effectively promoting the importance of Machine Learning Operations.



Su Lab

• IT Services and IT Consulting

• Research Assistant

  • Mar 2021 - Jun 2021

  San Diego, California, United States Reduced training, inference time and model size of a multi-task robot arm manipulator using behavior cloning (BC). Evaluated BC model on 208 tasks and compared model performances with reinforcement learning model.



University of California, San Diego - Jacobs School of Engineering

• Undergraduate Researcher

  • Jun 2020 - Jan 2021

  La Jolla, California, United States Aggregated and processed messy survey data from 6 courses spanning 6 time quarter into 1 organized tabular form using pandas. Visualized and analyzed quantitative and qualitative data to investigate difficulties blocking students during the 2020 pandemic using matplotlib. Employed ANOVA and Chi-square statistical tests to provide rigorous quantitative support and validation for hypothesized differences observed in visualizations. Published findings to ITiCSE 2021.

• Teaching Assistant

  • Sep 2019 - Mar 2020

  La Jolla, San Diego Held office hours for over 30 struggling students per week on OOP and basic data structures in Java. Write up concise and comprehensive answers to resolve inheritance, error handling issues.



DrivenBI

• United States
• Software Development
• 1 - 100 Employee

• Software Intern

  • Jun 2019 - Sep 2019

  Pasadena, California, United States Programmed a web-scraping tool to automate resume collection (3000) for OCR model using javascript. Refactored complex file structures and preprocessed messy file names using bash script.