Resume

basics

Bucknell University

Bachelor of Science in Computer Science & Engineering

Expected May 2027

GPA: 3.72 EGPA: 3.91

Awards

Coursework

Software Developer

Bucknell University

August 2024 — Present

Enhanced and maintained a Python program for film color analysis using NumPy, SciPy, and OpenCV
Created a SQL database for hosting information provided to a front-end web interface
Designed a pipeline to reduce manual steps and improve usability for non-technical researchers
Converted faculty research requirements into usable tools

Software Developer

Bucknell University

June 2023 — Present

Designed a C++ tool using OpenCV and the Blackmagic RAW SDK to extract unique frames from damaged film roll scans, reducing turnaround from 10-15+ hours to 2-4 hours
Developed a Lua plugin for DaVinci Resolve, allowing film editors to extract frames from selected films
Created robust filtering systems to account for varying quality, style, and inconsistent recording conditions
Prototyped and evaluated ViT and ResNet50-based models for frame selection, comparing performance against classical computer-vision filtering
Presented project at research symposiums and film screenings

Developer

Bucknell University

April 2025 — May 2025

Collaborated in an Agile team to create a Minecraft-like VR game using WebGPU, WebXR, and JavaScript
Implemented AABB collision detection and resolution and enjoyed optimizing game to achieve real-time interactivity
Addressed difficulties integrating WebGPU for VR while maintaining near real-time rendering

Deep Learning for ALL Blood Cell Classification

Developer, Author

Bucknell University

March 2025 — May 2025

Built a homebrew CNN model and ResNet50 transfer learning model for classifying Acute Lymphoblastic Leukemia (ALL) cell types from peripheral blood smear (PBS) images
Performed exploratory data analysis on PBS images to identify class imbalances and segmentation artifacts to guide model architecture and preprocessing decisions
Implemented image segmentation pipeline to isolate relevant image regions before training models
Interpreted model performance using confusion matrices, class-specific error analysis, and epoch vs. accuracy curves
Documented findings and experimental methodologies in a research-style report
Transfer learning model achieved 98% validation accuracy vs. 95% for homegrown CNN

Roguelite Game

Scrum Master, Developer

Bucknell University

November 2023 — December 2023

Built a roguelite game in Java using JavaFX with a small team following Agile methodologies
Designed the entity-component-system architecture and enjoyed writing core system modules
Wrote unit/integration tests using JUnit to ensure proper functionality
Organized daily Scrum meetings, worked to resolve obstacles, and maintained team workflow