Data & AI Builder · Sports Analytics · Computational Modeling
I'm a Computational Modeling & Data Analytics student at Virginia Tech interested in applied AI, sports analytics, and data-driven systems. My work includes building automation tools, analyzing financial and operational data, and developing projects that turn complex information into useful decisions.
I was selected to join the Virginia Tech Baseball Analytics staff as a Student Data Analyst for the upcoming 2026-2027 season. In this role I'll be supporting the team's use of TrackMan and in-game data to inform player development and opponent preparation.
- Support analysis of TrackMan and in-game data for player evaluation and pitching analysis
- Assist with player reports and visualizations for coaches and athletes
- Contribute to opponent scouting workflows using R and SQL
- Apply statistical methods to baseball performance data
Python · Azure AI Foundry · C# · MATLAB · Pandas · NLP
Collects SEC filings and financial news through the SEC EDGAR API and web-based sources, structures the data for analysis, and uses embeddings and language-model classification to explore market sentiment.
Python · Azure SQL · n8n · RAG
A voice-enabled automation system that converts customer requests into scheduling actions using speech-to-text, Azure SQL, n8n workflows, and retrieval-augmented generation.
Python · FFmpeg · yt-dlp
A Python-based converter that retrieves the highest-quality available audio streams from YouTube using yt-dlp and converts them to MP3 with configurable bitrates through FFmpeg. Includes batch processing support for converting multiple links from a list.
LLVM API · Clang
Exploring LLVM front-end tooling to generate and inspect intermediate representation, with a focus on understanding compiler optimization fundamentals.
- Led a five-member team developing and piloting an AI-powered receptionist system for 25 local businesses
- Built Azure SQL and n8n workflows that reduced manual scheduling workload by 60% during pilot testing
- Co-founded a nonprofit that reached 250+ students across Northern Virginia through coding workshops and mentoring
- Built and taught a beginner Python curriculum for students with no prior programming experience
- Managed 15+ student volunteers across 20+ workshops and community coding events
- Screened 500+ federal contract listings across cloud computing, cybersecurity, AI/ML, and IT modernization to identify high-fit opportunities
- Tracked qualified RFIs, RFPs, and Sources Sought notices, logging deadlines, NAICS codes, and agency contacts
- Researched target agencies and contributed to capability statement drafts and outreach packages
- Designed and iterated on a lunar rover wheel prototype for Moon surface operations
- Presented the final design to engineers at NASA Langley Research Center
Languages: Python, Java, C, C#, SQL, MATLAB Currently developing: R Data & AI: Pandas, NLP, embeddings, RAG workflows, data preprocessing, API-based data collection Tools & Platforms: Azure Cloud, Azure SQL, n8n workflow automation, Git, Linux
- R for statistical analysis
- Baseball and TrackMan analytics
- SQL analytical workflows
- Data visualization
- LLVM
Virginia Tech — B.S. in Computational Modeling & Data Analytics (Expected May 2028) GPA: 3.8
Coursework: Data Structures & Algorithms, Object-Oriented Programming, Low-Level Programming, Linear Algebra, Discrete Math, Multivariable Calculus, Probability & Statistics
Involved with Virginia Tech's AI & Machine Learning Club, CyberVT, and the hackathon community.
Email · LinkedIn · View Resume