About
I'm an Astronomy & Astrophysics undergraduate at the Florida Institute of Technology, pursuing a second major in Planetary Science and a minor in Sustainability. My work centers on applying deep learning and quantitative data analysis to astronomical problems, building on coursework in observational astronomy, instrumentation, and machine learning, extended by a study-abroad program at the University of Oxford in scientific and technical communication.
Alongside my studies, I serve as Chief Technology Officer of AspireCURES and Vice President of Database Management at the Sisters Hope Foundation, where I build and maintain the web platforms and patient databases that connect families affected by rare neurological diseases with clinical trials and research. This site collects my projects, resume, and contact information. Please feel free to reach out.
- Python
- PyTorch
- TensorFlow / Keras
- Computer Vision
- Deep Learning
- HTML / CSS / JS
- Cloudflare
Projects
Selected projects with links to pages, datasets, and technical writeups.
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Computer Vision YOLO Python
Drone Target Identification Model
Object detection and live target classification
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Deep Learning Astronomy Python
Star Cataloguing Deep Learning Model
Spectral classification and stellar type prediction
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Web Development Cloudflare HTML/CSS/JS
AspireCURES Website
Patient–researcher clinical trial matching platform
Designed, built, and maintain the public website for AspireCURES, connecting patients with clinical trials, research studies, and specialists for rare white matter diseases and other neurodegenerative conditions.
Tech: HTML/CSS/JS, Cloudflare Pages + Functions, Zoho CRM, GitHub Actions
Mini Projects
Smaller utilities, experiments, and side projects I've performed.
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Ortega Telescope Exposure Time Calculator
Instrumentation code that recommends an exposure time from sky brightness, seeing, and target signal-to-noise for the Ortega telescope.
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Simple BlackJack Game
An early Python coursework project: a full game loop with hit, stand, double-down, and betting logic, ported to play in the browser.
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Portfolio Website
A multi-page site built from scratch with vanilla HTML, CSS, and JavaScript, my introduction to front-end web development.
Resume
Updated July 2026
Coursework
Completed courses that directly support my interests in astronomy, physics, and machine learning.
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Deep Learning (CNNs & PyTorch)
Model design, training loops, evaluation, and practical computer vision workflows.
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Classical Mechanics
Lagrangian/Hamiltonian methods, constrained systems, and analytical problem solving.
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Partial Differential Equations
Separation of variables, eigenfunction expansions, and boundary value problems.
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Modern Physics
Quantum/relativity fundamentals, atomic & nuclear topics, and applied problem sets.
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Observational Astronomy
Stellar structure/evolution, observations, and interpreting survey-style datasets.
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Methods and Instrumentations
Telescope/CCD instrumentation fundamentals, calibration & noise, and hands-on coding projects for astronomical data reduction and analysis.
Contact
Send a message
Goes straight to my email.