
Thomas Powell
Technical Intern at SAS | CS & Data Science Student
Technical Intern at SAS | CS & Data Science Student
Student at UNC Charlotte, deeply invested in computers and software as both a hobby and career. Graduate of the Academy of Information Technology and interning at SAS since June 2022. Currently earning both my BS in Computer Science with concentration in data science, and a MS in Data Science and Business Analytics dual track. My work at SAS focuses on quality assurance infrastructure, cloud engineering, GenAI testing, and full-stack development. I specialize in creating automation tools, web applications, cloud infrastructure, and GenAI test strategies. My projects range from Selenium Grid deployments to paper trading apps deployed to the App Store.
- 3+ years as Technical Intern at SAS
- BS Computer Science (3.95 GPA) & MS Data Science student
- Second Place & Golden Hack Award at UNC Charlotte AxeHack
- GenAI test strategy development using DeepEval
- Paper trading app deployed to App Store
- AOIT Honors Program Graduate
- Experience with enterprise-scale projects
Python
3yr
R
1yr
SAS
2yr
Docker
2yr
Kubernetes
2yr
AWS
2yr
Terraform
2yr
Java
2yr
Git
3yr
Flask
2yr
HTML5
3yr
JavaScript
2yr
C++
1yr
Linux
3yr
- BS Computer Science (Data Science) & MS Data Science & Business Analytics
- University of North Carolina at Charlotte
- Expected May 2027
- 3.95 GPA (Undergrad)
- Accelerated 4+1 Program
- AOIT Honors Program
- Adobe Dreamweaver CS5
- Microsoft PowerPoint 2019
- Microsoft Word 2019
Quality assurance infrastructure, cloud engineering, and full-stack development for the CI360 platform team.
- Built enterprise Selenium Grid deployment on Kubernetes for parallel test execution
- Created containerized development environments adopted across multiple teams
- Developed full-stack web application for production deployment segment control
- Built CLI tools for internal API interaction used by 50+ developers
- Automated QA infrastructure with Terraform, Helm, and GitHub Actions
- Designed GenAI test strategy using DeepEval framework
- Worked on cloud infrastructure with AWS, Docker, and Kubernetes
Completed the AOIT Honors Program with focus on information technology, web development, and computer science fundamentals.
- Graduated from AOIT Honors Program
- Earned Adobe Dreamweaver CS5 certification
- Earned Microsoft PowerPoint 2019 certification
- Earned Microsoft Word 2019 certification
- Foundation in web development, networking, and IT systems
- Dual-track program with BS in Computer Science
- Focus on econometrics, machine learning, and business analytics
- Accelerated 4+1 program
- 3.95 GPA
- Data Science concentration
- Second Place & Golden Hack Award at AxeHack Hackathon
- Coursework in algorithms, data structures, machine learning, and statistics
CIQE Development ContainerssasDocker, DevContainers, AWS
Containerization of repos and projects with the CI360 team allowing for normalization of testing and development environments across teams
- Immediate productivity when working with repos and projects
- Automated project-specific setup for all requirements
- Internal features handle AWS and Git authentication
- Automatic installation of packages including auth
- Security automated and connectivity to private resources
- Templates with complex setup baked in for teammates
QEGRID: Selenium GridsasSelenium, Docker, Kubernetes
Enterprise-scale Selenium Grid deployment allowing browsers of selenium tests to run inside an internally deployed grid for better resource management
- Resource connectivity and efficient handling
- Run tests quicker with parallel execution
- Normalization of browser versions
- Standardized test runners across teams
- Centralized test execution management
- Scalable infrastructure for concurrent tests
SplitStation: Internal Webapp ToolsasFlask, Python, HTML/CSS/JS
Full-stack web application for controlling production deployment segments with complete pipeline, authentication, and tracking capabilities
- Control production deployment segments
- Advanced permission management system
- Change tracking and audit logs
- Custom interaction workflows
- Full authentication and authorization
- Real-time segment updates
CI360: Command Line ToolsasPython, Click, REST APIs
Enterprise CLI tool for interaction with internal APIs, featuring automatic proxying and simplified complex operations
- Simplified interaction with complex internal APIs
- Automatic proxying and authentication
- Single command for complex operations
- Pipeline deployment and distribution
- Create customer identity with one command
- Comprehensive error handling and logging
Spotify Playlist BuilderotherPython, Flask, HTML
Award-winning web application for building Spotify playlists with swipe-based interface, developed at UNC Charlotte AxeHack
- Swipe-based song selection interface
- Real-time playlist building
- Spotify API integration
- Responsive web design
- User authentication with Spotify
- Playlist export functionality
QA Infrastructure & AutomationsasPython, AWS, Terraform
Comprehensive suite of automation tools, web apps, and cloud infrastructure to enable quality assurance across CI360 platform
- Automated test archiving to S3
- GitHub Actions integration
- Terraform and Helm deployments
- Automatic tenant permissions management
- Test results visualization webapp
- Complete CI/CD pipeline automation
Paper Trading Competition AppappSwift, Python, REST APIs
Mobile application for simulated stock trading competitions, deployed to the App Store. Users compete in real-time paper trading with live market data.
- Real-time paper trading with live market data
- Competition leaderboards and rankings
- Portfolio tracking and performance analytics
- User authentication and profile management
- Push notifications for trade alerts
- Historical performance charting
GenAI Test Strategy (DeepEval)genaiPython, DeepEval, LLMs
Comprehensive GenAI testing strategy using the DeepEval framework for evaluating LLM outputs, ensuring quality and reliability of AI-generated content.
- LLM output evaluation and scoring
- Automated test case generation
- Hallucination detection metrics
- Answer relevancy and faithfulness testing
- Contextual recall and precision metrics
- Regression testing for model updates
Neural Network Modelmachine-learningPython, TensorFlow, PyTorch
Coming Soon - Advanced deep learning model for pattern recognition and prediction
- Advanced pattern recognition
- Real-time prediction capabilities
- Model optimization techniques
- Data preprocessing pipeline
Longevity ProtocollongevityPython, R, BioPython
A personal passion project exploring longevity science, bioinformatics, and health optimization. Not a formal project — just something I care deeply about.
- Biomarker analysis
- Health data tracking
- Research collaboration tools
- Data visualization dashboards