Curriculum Vitae

University of Virginia – B.S. in Computer Science

• GPA: 3.921 (4.0 scale)
• Major GPA: 3.976 (4.0 scale)
• Expected graduation May 2021

Machine Learning Intern at Expedition Technology

• Researched, assessed, and adapted state of the art object detectors using PyTorch to detect small objects in an Agile team.
• Deployed Docker containers to AWS P2 instances through Jenkins to train networks.
• Constructed TensorBoard live feeds to monitor validation losses and observe qualitative results quickening the model evaluation process.
• Performed exploration of reinforcement learning libraries to find the best library with priorities of concision and readability.

Data Anyalst Intern at NetForecast Inc

• Developed and documented data management and collection software to improve the structure and optimization
• Designed scheduled tasks using AWS to perform constant data updates improving data quality.
• Analyzed data from traceroutes and pings to predict router locations using support vector regression and force simulations.
• Designed structure to follow object oriented programming principles and design patterns.

Undergraduate Research Assistant at University of Virginia

• Advised by Dr. Yonghwi Kwon
• Designed tool to analyze Docker container on Docker Hub collecting data for security analysis of Docker containers.
• Built an Active Directory user environment through PowerShell and ESXi scripting mimicking a corporate environment.
• Assembled information about how attacks are executed by running red-team emulators collecting usable data.
• Preprocessed data with Python data science libraries to prepare for anomaly detection and classification tasks.

Research Assistant at George Mason University

• Analyzed and organized data from IOT devices utilizing machine learning techniques to increase accuracy of models by 5\% and leveraged python machine learning libraries.
• Implemented time series motif discovery algorithms in Python using NumPy and SciPy.
• Created one of the first implementations of a novel matrix profile algorithm in Python from a publication.

• Member of Undergraduate Research Initiative (2019 - 2021)

• Intermediate Honors (2020)
• Dean's List (2018, 2019)

Teaching Assistant for Computer Architecture

• Provided weekly office hours for a Computer Architecture class with more than 300 students.
• Taught by Prof. Charles Reiss.
• Ran weekly laboratory sessions providing an overview and answering questions.
• Examined instructional material for understandability and clarity through reviewing assignment's overview and instructions.

Check out my projects page for more information.

Image-Caption Geolocation for Privacy

• Used machine learning to examine the potential personal information in a social media post (image & text).
• Leveraged name entity recognition to recognize potential information leaks within a post’s text.
• Developed CNN for image geolocation for a small subset of locations achieving high precision and recall.
• Made geolocation into a hierarchical classification problem through hierarchical clustering of GPS coordinates.
• Demo Video

Mocking SQLAlchemy

• Created a python library for mocking SQLAlchemy that has around 16,000 downloads and 12 GitHub stars.
• Established modern CI/CD pipelines using GitHub Actions.
• Documentation and source code are publicly available.

Docker Scraper

• Scrapes Docker Hub for Docker images of webservers of similar types.
• Uses variants of Docker containers to do analysis of popularity and software package version numbers.
• Observed if people were updating their Docker containers with newer software versions to see if any vulnerabilities were left enabling data collection for security analysis of Docker containers.

Anonymous Social Media Privacy

• Senior year thesis on understanding the constraints of privacy within anonymous social media.
• Explored the sociotechnical aspect of privacy: realizing the connection between the technical and social aspects of privacy.
• Examined the impact of technology in changing perspective of privacy: from the individual to collective.