Incoming Amazon Systems Development Engineer Intern | Systems Engineering @ UVA | CS & EE | Research in AI & Computational Biology
I’m a Systems Engineering student at the University of Virginia, pursuing minors in Computer Science and Electrical Engineering. My work sits at the intersection of data, systems, and real-world impact—spanning GroqCloud-based pipelines for large-scale language-model evaluation, bioinformatics workflows for cardiovascular modeling, and production web systems serving thousands of users.
I currently conduct research under Professors Hudson Golino and Stefan Bekiranov, where I develop reproducible, high-performance machine-learning pipelines and apply deep-learning methods on UVA’s high-performance computing (HPC) cluster. I will be joining Amazon as a Systems Development Engineer Intern.
Outside the lab, I run a freelance web-automation consultancy and lead U.S. growth for FightSignal, an international MMA analytics startup with 5,000+ members. I also founded FighterForecast.com, an ML-powered fight-prediction platform achieving 66% accuracy and 20,000+ views.
Amazon | Summer 2026
University of Virginia | 2025 – Present
Designed a GroqCloud-based pipeline for automated agentic text-data extraction using OSS-120B, generating a 90,000-document synthetic corpus with controlled linguistic variation. Engineered LLM evaluation workflow benchmarking extraction accuracy against ground-truth labels using Python and R. Co-authoring Journal of Statistical Software paper on statistical validation methodology.
UVA School of Medicine | 2025 – Present
Training in deep learning and UVA’s high-performance computer (HPC) for applications in bioinformatics. Supporting the ProtoCell4P project by studying architecture design, model reproducibility, and pipeline setup for SNP-based cardiovascular modeling.
2024 – 2025
Advised and delivered websites for UVA Grappling, UVA Muay Thai, UVA Girls Who Lift, Plushies for Patients, and Sidwell Friends School Baseball, supporting 3000+ members and generating 8000+ requests in the first month of launch. Built automated signup and scheduling systems (PHP, SQL, TailwindCSS) that replaced manual workflows, saving exec boards 4+ hours per week and enabling scalable operations.
Summer 2025
Rebuilt company website (PHP/HTML/CSS), increasing traffic from ~150 visits to 1000+ monthly. Automated Excel workflows with Python, saving 2+ hours of manual reporting per week.
Jan 2023 – Aug 2023
Built predictive ML pipelines in Python for part-failure forecasting, improving reliability insights. Prototyped LLM ingestion (LlamaIndex) for a searchable database of building standards. Contributed to UI/UX of Syyclops, a digital-twin monitoring app, using React.
Summer 2022
Debugged and tested flight software in Linux VMs, validating reliability fixes that streamlined satellite build processes. Collaborated with engineers on system-level testing to strengthen mission-critical software integrity.
Summer 2025
Coached groups of 10–60 students, fostering critical thinking, strategic growth, and teamwork through competitive chess.
2025 – Present
Founded an ML-powered UFC fight prediction platform. Built an end-to-end pipeline with 8,000+ fights and 40+ features, improving accuracy from 50% to 66% and simulating 10%+ annual ROI via Kelly models. Deployed as a PHP/Tailwind web app, gaining 200+ followers and 20K+ social views, and attracting interest from faculty and industry.
fighterforecast.com2025 – Present
Collaborating with a 6-person consulting team to improve adoption of a telemedicine platform. Conducting client needs assessments, testing delivery methods, and designing data-driven recommendations to enhance patient and employee engagement.
University of Virginia – B.S. Systems Engineering | Minors: Computer Science & Applied Mathematics | (Dean’s List)