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Recent Projects​
Conditional Generative Adversarial network for chest x-rays
Independent conducted at the University of New England under Dr. Jaume, developing Generative Adversarial Networks to generate Chest X-Rays. Presented findings at Summer Undergraduate Research Experience Symposium. Strengthened skills in deep learning, computer vision, medical imaging, and model optimization.
Image segmentation tool
This image segmentation tool uses the GoJS library to allow users to interactively annotate and segment images by placing points and connecting them with lines. Users can click to create segmentation points, which are linked to form a structured outline over a medical image. It includes an STL file export feature, allowing users to convert their segmented outlines into a 3D model representation by generating and downloading an STL file. First HTML/CSS/JS Project, done as a preliminary for Chest X-Ray Research at UNE.
Java MineSweeper
Developed a Java-based Minesweeper game that randomly places mines on a grid and allows the player to uncover tiles while avoiding hidden mines. The program utilizes 2D arrays to store board states, recursion for revealing safe tiles, and conditionals to check for adjacent mines. This project demonstrates proficiency in Java fundamentals such as loops, conditionals, and object-oriented programming.
Work Experience
Server's Assistant - Rosella KPT
(2024-Now)
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Assisted servers by setting and clearing tables, running food, refilling beverages, and seating guests.
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Coordinated with kitchen and front-of-house staff to facilitate efficient meal delivery.
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Maintained high restaurant standards through attention to detail and effective communication.
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Developed strong multitasking and teamwork skills in a fast-paced environment.
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Recognition
United States of America computing Olympiad Platinium
Top 1% in Project euler
Project Euler is a platform that challenges users with complex mathematical and computational problems, testing problem-solving and programming skills. I earned recognition in the top 1% of participants for my ability to efficiently solve advanced problems using algorithms and code optimization, demonstrating full proficiency in Python.
Al Neuharth Free Spirit and Journalism Conference
USA Computing Olympiad (USACO) is a prestigious programming competition that challenges students with algorithmic problems to test their computational problem-solving abilities. I achieved Platinum division status, placing among the top tier of competitors, through consistent high performance in solving complex algorithmic challenges across a variety of topics, including dynamic programming and graph theory, demonstrating proficiency in python.
The Free Spirit & Journalism Conference, founded by Al Neuharth, recognizes high school students with a passion for journalism and commitment to the First Amendment. Selected as the 2024 Maine representative, I received this award for my work as at The Herd. Included a $1,000 scholarship and all expenses paid trip to Washington D.C.
© 2025 by Shane Woloszyn
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