Thomas Qu

Bachelor of Science

2021 - Present

University of Virginia, McIntire School of Commerce, Charlottesville, VA

Bachelor Science in Mathematics, Finance, and Computer Science with a focus on software development and modeling. I am developing a robust skill set that includes advanced statistical analysis, software development, and financial modeling.

L3Harris

May 2024 - Aug 2024

Software Engineering Intern - Special Communications

• Designed and implemented a CI/CD pipeline using Docker and Jenkins to automate build, test, and deployment processes for 10+ microservices, reducing debugging overhead by 30% and improving deployment frequency by 2x for a 40-engineer team.
• Integrated SonarQube into Jenkins builds for static code analysis and refactored 1,000+ outdated RSpec tests, increasing test coverage by 15% and reducing security vulnerabilities by 20%.

May 2023 - Aug 2023

Software Engineering Intern

• Developed a Slack chatbot using Python, C#, and .NET to automate staffing requests by cross-referencing Excel data, auto-filling Word documents, and delivering emails, reducing manual effort by ~9 hours per request.

Trtcle

Jun 2024 - Present

Website Coordinator Intern

• Automated back-office tasks (data collection, data entry) using Python and Selenium, reducing manual labor costs by $40,000 annually and improving operational efficiency by 30%.

Digital Pool

Mar 2024 - Present

Software Engineering Intern

• Engineered a vector search system using PostgreSQL, pgvector, and cosine similarity, leveraging OpenAI embeddings and a RAG pipeline to enable semantic search for event types. Enhanced search accuracy by 40% and drove a 10% increase in event participation as the startup began monetizing.
• Fine-tuned OpenAI embeddings and implemented caching mechanisms, reducing search latency by 30%.

Peraton

May 2022 - Aug 2022

Software Developer Intern

• Built an interactive React dashboard to consolidate real-time performance metrics from multiple microservices (Docker, Kubernetes, Elasticsearch), accelerating incident response times.
• Integrated a Python-based NLP engine (spaCy, scikit-learn) to automatically classify and route incident reports, reducing triage time by 20%.

University of Virginia

Aug 2023 - May 2024

Undergraduate Research Assistant – Data Science Department

• Researched the use of DNNs to predict solutions for optimal power flow problems using Python, PyTorch, and Matlab

Nov 2022 - Present

Undergraduate Research Assistant – Computer Science Department, Charlottesville, VA

• Investigated cyber‐attack detection, building provenance graphs with HTML, JavaScript, Express, Elasticsearch, D3.js, and Node.js
• Created an intrusion detection system using scikit‐learn, PyTorch, and Graph Neural Networks (federated learning), analyzing graph‐based process/file data

Aug 2023 - Present

Teaching Assistant

• Facilitated discussions and office hours for 150+ students, focusing on practical applications and conceptual understanding

Sep 2023 - Present

McIntire Student Ambassador

• Led tours and held panels for over 300 attendees as well as contributing to the McIntire blog to enhance community outreach