Jason Ton
@jasonton
Aspiring software engineer and machine learning developer.
What I'm looking for
I'm a dedicated software engineer with a strong foundation in computer science, currently pursuing my Bachelor of Science at the University of Virginia. My academic journey has been marked by a GPA of 3.76, reflecting my commitment to excellence. I have hands-on experience in software development and data science, having interned at LinQuest Corporation where I built a full-stack network monitoring app that significantly improved monitoring efficiency and threat detection.
In addition to my internship, I have contributed to machine learning research at the UVA Research Lab, focusing on privacy-centric models and enhancing performance through innovative techniques. My analytical skills were further honed as a Data Analyst at the UVA Biocomplexity Institute, where I processed extensive COVID-19 vaccination data to support critical public health research. I am passionate about leveraging technology to solve real-world problems and continuously seek opportunities to grow and innovate.
Experience
Work history, roles, and key accomplishments
Machine Learning Research Assistant
UVA Research Lab
Feb 2023 - Sep 2023 (7 months)
Researched privacy-focused machine learning under Dr. Jundong Li, building and testing deep learning models for "machine unlearning" using PyTorch and scikit-learn. Improved model performance by 15% through techniques like GNN node masking and reconstruction. Benchmarked and tuned five novel unlearning algorithms, optimizing hyperparameters to enhance robustness and retraining efficiency.
Software Development and Data Science Intern
LinQuest Corporation
Jun 2023 - Aug 2023 (2 months)
Built a full-stack network monitoring application using React, FastAPI, and PostgreSQL, which significantly boosted monitoring efficiency and improved threat detection. Developed and modularized over 30 React components for a data dashboard, automating hundreds of hours of manual analysis, and created real-time firewall APIs to enhance visibility and threat analysis. Trained and deployed a logisti
Data Analyst
UVA Biocomplexity Institute
Jun 2021 - Sep 2021 (3 months)
Analyzed over 60,000 COVID-19 vaccination data entries using NumPy, pandas, and GeoPandas, supporting a published study on vaccine behavior trends in Virginia. Built heatmaps and visualizations to highlight seven major risk factors, streamlining insights for public health researchers.
Education
Degrees, certifications, and relevant coursework
University of Virginia
Bachelor of Science, Computer Science
Grade: 3.76
Completed a Bachelor of Science in Computer Science with a major GPA of 3.76. The curriculum covered various aspects of computer science, including software engineering, web development, and machine learning.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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