Software developer with an M.S. in Computer Science from the University of Florida and a peer-reviewed ACM publication in bioinformatics. Experienced across the full stack - from AI-driven platforms and cloud pipelines to database design. Currently building at AcquiOS.
Open-source Rust library (with Python bindings via PyO3) that compresses Excel spreadsheets for LLM context windows, achieving 80-95% token reduction. Implements the SpreadsheetLLM compression pipeline with structural detection, data-format aggregation, and smart output selection. Published on PyPI with pre-built wheels for all platforms.
Built custom software for an online brand-mention monitoring platform using Python, n8n, and MySQL. Tracks and analyzes brand perception across social media and review channels in real time.
Built core features of an AI-driven real-estate deal-analysis tool that evaluates and ranks potential acquisitions. Designed and maintained a custom CMS powering both the main site and commercial real estate landing pages.
Co-authored "PLATO: Predicting Longitudinally-Aligned Time Observations of Biological Networks," comparing matrix factorization, ML, and other methods for predicting missing time-series values in gene-interaction networks. Published at ACM BCB 2025.
Customized data-analysis tools using Python and MongoDB to transform raw experimental data into structured, queryable formats for computational chemistry research at UF. Collaborated with researchers to iterate on tool design through ongoing feedback.
Built the Financial Statements Module during an internship at SerVC, working in full-stack development with MySQL, TypeScript, CSS, and HTML. Collaborated with developers to ensure seamless integration.
ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (BCB), 2025
View on ACM Digital LibraryBuilding core features of the AcquiOS AI deal-analysis platform and BrandRadar sentiment monitoring tool. Designed and maintained a custom CMS powering both products.
Worked with Prof. Tamer Kahveci comparing matrix factorization, ML, and other methods for predicting missing time-series values in gene-interaction networks. Co-authored ACM BCB 2025 paper.
Customized data-analysis tools with Python and MongoDB for computational chemistry research. UF AI Scholar Award recipient.
Created Google Cloud pipelines using AI and cloud computing for clients to streamline business operations.
Developed an OpenAI-powered text generator using TypeScript and Angular that analyzes inputs and responds with philosophical insights.
Built the Financial Statements Module using MySQL, TypeScript, CSS, and HTML in a collaborative full-stack environment.
Research focus in bioinformatics and AI. Published at ACM BCB 2025.
Graduated with honors and full scholarship. Recognized for outstanding AI research.
Python, Java, C++, JavaScript/TypeScript, SQL, Julia, LaTeX
React, Angular, Node.js, HTML/CSS, REST APIs, Git, Agile/Jira
TensorFlow, RAG, Vector DBs, Bioinformatics, Power BI, n8n
AWS, Google Cloud, Docker, MongoDB, MySQL, HPC
