Alex Gundrum

Computer Science Master's student proficient in Python, C++, and Java. Experienced in designing and implementing RESTful APIs and developing backend microservices for robust applications. Currently applying these skills to complex simulation environments.

Technologies

Skills and tools I work with

Python

C++

SQL

Java

Flask

Node.js

SQLite

OpenAI API

RESTful API

Relational Databases

Object-Oriented Programming

Version Control

AI Techniques

Git

Linux

Docker

CMake

Experience

My professional journey in the tech industry

AMEWAS, Inc.

Software Engineer Intern

June 2025 – August 2025

Patuxent River, MD

Contributing to flight simulation and modeling software systems for defense applications.

Key Accomplishments:

Maintained an Active Interim Secret Security Clearance, ensuring strict adherence to classified project protocols.
Optimized CMake for XML deployment and dozens of module integrations, significantly streamlining the build process for complex software systems.
Developed Bash scripts to automate XML aggregation into a unified configuration, reducing manual errors and improving system reliability.

Technologies Used:

CMake
Bash
Linux
XML

Digital Forensics and Control Systems Security Lab

Undergraduate Researcher

August 2023 – Present

Tuscaloosa, AL

Conducted advanced research in computer vision and traffic analysis, developing innovative systems that significantly improved data accuracy and real-time monitoring capabilities.

Key Accomplishments:

Orchestrated and implemented a real-time speed estimation system leveraging object detection and vanishing point analysis, achieving 94.3% accuracy and enhancing traffic condition monitoring.
Engineered a system combining object and edge detection to calculate vanishing points, converting 2D bounding boxes into accurate 3D and improving spatial accuracy by 28%.
Constructed a system to detect inhibited vehicles, facilitating free-flow speed analysis for accurate traffic metrics.
Formulated geometric transformations mapping vehicles to real-world coordinates for precise spatial data.

Technologies Used:

Python
OpenCV
YOLO
Computer Vision
Object Detection
Image Processing

Trustworthy Autonomy Lab

Undergraduate Researcher

March 2025 – Present

Projects

A showcase of my technical projects and applications

Net Worth

Budget

MoneyTrees

Fintech hackathon winner

Awarded 1st Place, this AI-powered finance dashboard uses Flask, React, and OpenAI to deliver personalized financial advice and dynamic visualizations.

Handwritten Digit Classifier

Machine Learning, Computer Vision

Built a feedforward neural network from scratch in TensorFlow, achieving 95% accuracy on the MNIST dataset.

Animation Coming Soon