From an early age, my fascination with computers took me from creative front-end design to complex back-end development with Java and C++.
Featured in research publications and contributing to impactful applications for industry leaders, I've deepened my commitment to crafting innovative and meaningful technology.
My prior role at CoreLogic, I optimized the Digital Gateway workflow, by creating troubleshooting pipelines on integrations for Tier-1 clients such as Wells Fargo, Chase, and Liberty Mutual, and designed an internal tool to enhance workflow efficiency and strategic planning.
Now at Athletics In Silico, I'm expanding my skillset into computer vision and machine learning, developing Python scripts for a seamless data collection and preparation to aid real-time golf analytics system to ensure smooth data integration and live performance insights.
When I'm not at my desk, I immerse myself in side projects that fuel my passions.
I built a racing simulator—learning flex-core welding in the process, learning how to sue to build impact resistant panels for my custom golf simulator.
Currently mastering TIG welding to possibly fabricate my own exhaust system in the future.
With each side project, I continually expand my skill set beyond the computer, embracing new ideas and challenges.
May 2024 - Now
Specializing in data gathering and processing for a computer vision and machine learning-driven golf analytics system. Developed Python scripts to access and parse data from a ForeSight GC3 sensor, organizing locally-stored data for seamless integration with real-time analytics. Enhanced automation in data retrieval and parsing to support accurate feature extraction and improve performance in live video-based machine learning models.
Computer Vision
Python
Machine Learning
Cloud Computing
Github
Data Collection
ForeSight
Jun — Sep 2023
Focusing on observability, I optimized the digital gateway's pipeline in a scaleable dicipline. I improved the integration on clients such as Wells Fargo, Chase, Liberty Mutual and Bank of America. I also designed and developed an internal service to aid strategic planning on integrations.
Apigee
Elastic
UpTrends
Jenkins
TDD
Angular
Python
Java
Mar 2022 — May 2023
As a software engineer, I developed firmware and simulation tools for neuroscience research focused on impaired driving. I designed robust firmware for our virtual reality driving simulator and implemented lifelike physics based off my experience in HPD (high performance driving) to allow researchers to study cognitive responses to impairments.
Unity
Physics
C#
Firmware
Aug — Sep 2022
I analyzed datatables with over 400 million rows of NASA's netCDF data to validate VOD data against TDR data. This process enhanced our understanding of remote sensing technologies and environmental dynamics.
Big Data
NASA
Python
NetCDF
R
Feb — Feb 2021
I was contracted to rapidly create a website for a company, meeting their urgent needs by efficiently delivering a professional site.
HTML
CSS
JS
API
Hosting
Modifying the alpha-beta pruning of Stockfish to provide comprehensive explanations for each of its strategic moves, offering a deeper understanding of its decision-making process.
Stockfish
Alpha-Beta
Vibrant web application designed for benchmarking reaction times through a simulated Formula One grid light system. Developed using HTML, CSS, and JavaScript, it features precise reaction time analytics, a responsive design, and a system for tracking personal bests. This project exemplifies modern web application development, balancing functionality with an engaging user interface.
JavaScript
Peer Programing
Game Development
Web Development
HTML
CSS
Photoshop
Image classification model to distinguish between healthy and unhealthy retinas, leveraging deep learning techniques to assist in the early detection of ocular diseases.
Deep Learning
Medical
Game of Life simulation involves determining how cells in a grid evolve and interact over generations, leading to fascinating emergent patterns and behaviors.
C++
Early start-up concept site based around modifying the properities within a range of coffees.