Thomas Kudey

Software Engineer

I design and develop end-to-end applications
and digital solutions

  1. View Full Resume
  2. ABOUT
  3. EXPERIENCES
  4. PROJECTS

  1. From an early age, I’ve been fascinated by how technology shapes human experiences. That curiosity carried me from creative front-end design into building back-end systems in Java, C++, and Python, and into developing scalable applications for industry leaders and research.

    At Atlantic Computer Systems, I build B2B web suites with modern UI/UX, SaaS microservices, and API integrations—helping clients boost sales and streamline operations. Earlier at CoreLogic, I improved observability in the Digital Gateway for tier-1 clients like Wells Fargo and Chase, and at Athletics In Silico I created Python pipelines to process large-scale sensor data for a computer vision golf analytics system.

    In my free time, I started Elevate Golf LLC, inspired by building a custom golf simulator. I also explore hands-on engineering projects like racing simulators, fabrication, and TIG welding. Whether in software or fabrication, I approach every challenge with persistence and creativity.

    1. Dec 2024 - Present

      Jr. Software Engineer · Atlantic Computer Systems

      Full-time

      I built and deployed over three B2B web suites with modern UI/UX, SaaS microservices, and API integrations in collaboration with DevOps teams, enabling clients to boost sales by 2–3x and reduce bookkeeping time by roughly 25%. I ensured scalable, high-quality deployments by leading QA testing, debugging, and Agile practices including sprints, code reviews, and standups. Additionally, I improved automation reliability and uptime by 20% through maintaining back-end integrations and documentation with test-driven development, which streamlined onboarding and cross-team collaboration.

      • Python

      • HTML

      • Cloud Computing

      • JavaScript

      • Project Management

      • Leadership

    2. May 2024 - Nov 2024

      Software Engineer · Athletics In Silico

      Task-based

      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

    3. Jun — Sep 2023

      Software Engineer · CoreLogic

      Internship

      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

    4. Mar 2022 — May 2023

      Software Engineer · The Brain Institute

      Research Internship

      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

    5. Aug — Sep 2022

      Data Analyst · Goldsmith Labs

      Internship

      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

    6. Feb — Feb 2021

      Full Stack Developer · Core Auto Spa LLC.

      Freelance

      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

  3. View Full Resume

    1. EC2 LLM/ML Stock Forcasting

      I developed a machine learning pipeline for stock price prediction, fully deployed on AWS EC2 for scalable and low-latency performance. It automates financial news scraping with Selenium and BeautifulSoup, transforms unstructured data into actionable features using ChatGPT's NLP capabilities, and integrates these insights with historical data to predict next-day closing prices. An interactive Python Shiny dashboard provides a user-friendly interface for analyzing predictions and article insights.

      • LLM

      • API

      • AWS

      • FinTech

      • ML

      • Python

      • Web Scrapping

      • SaaS

    2. SaaS Sentiment Real Estate Value ML Model

      A SaaS product that is able to evaulate the pricing of a house based on a description of the house and given address. Hosted on an AWS instance and built on the Shiny UI framework.

      • Python

      • Sentiment Analysis

      • API

      • Shiny

      • SaaS

      • ML

    3. Explainable Chess AI

      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

    4. Formula 1 Reaction Time Game

      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

    5. Retina Machine Learning Model

      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