
EDUCATION:
University of Florida
Bachelor of Science in Computer Science, Cum Laude
College of Liberal Arts and Sciences
December 2024 | Gainesville, FL
3.95 GPA
Relevant Courses: Software Engineering, Data Structures and Algorithms, Operating Systems, Computer Organization, Algorithm Abstraction and Design, Advanced Programming Fundamentals, Information and Database Management Systems, Enterprise Software Engineering Practices, Information Security, Data Science
3.95 GPA
2024 Grad
EXPERIENCE:
Data Migration Specialist: Implementation Services
Enumerate (formerly TOPS Software) | January 2020 - Present
Clearwater, FL (Remote)
- Developed & deployed a Python automation tool that cut manual data validation time by 50%.
- Reduced file transfer size by up to 90% through a custom JavaScript filter, accelerating enterprise data migration.
- Collaborated with engineers to refine the "New Community Setup Wizard", leveraging data migration expertise.
- Accelerated data-migration workflows, reducing time-to-value from 90 days to 60 days.
- Team lead of Data Conversions for SaaS customer onboarding projects.
- Complete 3-15 data conversion projects each month.
Project Manager: Customer Onboarding
TOPS Software | November 2017 - December 2019
Clearwater, FL (On-Site)
- Coordinated 3-10 customer onboarding projects/month, migrating clients to a new SaaS platform.
- Streamlined communication between product, engineering, and client stakeholders.
Customer Support Specialist
TOPS Software | October 2013 - October 2017
Clearwater, FL (On-Site)
- Resolved 5-20 customer support tickets daily as a top-tier service provider.
- Conducted advanced troubleshooting and partnered with engineering to document and fix bugs.
- Collaborated with internal teams to translate user pain points into improvements.
PROJECTS:
Personal Portfolio Website
Next.js, Tailwind CSS, Three.js, Vercel | Feb 2025
- Skill Icons: A section of my portfolio showcases the various programming languages and developer tools I've used. Each skill is displayed as a visual icon.
- Gen AI 3D Model: I used meshy.ai to generate a 3D model from my graduation photo and tapped into additional 3D assets from Sketchfab. The result? A fun, immersive experience that merges code with a bit of magic.
- Engaging Animations & Effects: Thanks to framer-motion and Three.js integration, the site is packed with smooth transitions and interactive elements.
- Email Contact Form: Implemented react-hook-form for a seamless email form, allowing anyone to send me an email.
- GitHub Stats API: Integrated GitHub stats API with React components to highlight my contributions.
- Live Demo | GitHub
Chatbot - Retrieval Augmented Generation (RAG)
Next.js, Tailwind CSS, Vercel AI SDK, OpenAI API, PostgreSQL vector db | Mar 2025
- Built a chatbot using retrieval-augmented generation (RAG) to answer questions based on external data.
- Started with a Vercel AI SDK template, refining the prompt and embedding structured resume data into a vector database.
- Tested and iterated on a working prototype, improving response accuracy by fine-tuning embeddings.
- Currently expanding the knowledge base and re-embedding updated information for better retrieval.
- Live Demo | GitHub
PantryPal: Food Donation Platform
Vue.js, Node.js, PostgreSQL, Supabase Auth, Vercel | Aug 2023 - Dec 2023
Baseball Data Trend Visualizations
SQL, Vue.js, Node.js, Oracle Cloud | Aug 2023 - Dec 2023
- Five interactive visualizations of baseball statistical data, hosted on Oracle Cloud with an Autonomous SQL Database
- Frontend built with Vue.js & Quasar, backend powered by Node.js & Express
- REST API for querying and fetching data with SQL.
- Authored optimized SQL queries to uncover key data trends in baseball statistics.
- Live Demo | GitHub
AI Prediction of Song Genre and Popularity
Python, Jupyter, PyTorch, scikit-learn | May 2023 - Jul 2023
- Analyzed a Spotify dataset, exploring and visualizing correlations between audio features and song popularity.
- Preprocessed data using Python and pandas with dimensionality reduction techniques for optimized model inputs.
- Developed and evaluated Random Forest and Neural Network models for genre and popularity prediction.
- GitHub
SKILLS:
Java (OOP), Python, JavaScript (React/Node), GraphQL, SQL (Oracle/PostgreSQL), C++, R, HTML/CSS, TypeScript
Linux, AWS (EC2), Oracle OCI, Supabase, MongoDB Atlas, Vercel, Docker
Git, Jira, Visual Studio, VS Code, IntelliJ, Jupyter Notebook, Postman, Vite, Quasar