Matthew Jones
EXPERTISE
BIO
Dynamic Computer Scientist with a year of experience driving innovation through cutting-edge technology and rigorous testing methodologies. Expertise in leveraging artificial intelligence and machine learning to develop customized solutions and enhance product offerings. Committed to delivering high-quality results through meticulous project planning and collaboration with development teams. Passionate about advancing technological capabilities to meet evolving customer needs.
WORK EXPERIENCE
Computer Scientist
US Army Electronic Ground
April 2024 - May 2025
Performed tests of prototypes and final products to be fielded to future war fighters. Completed reviews of codes, requirements, and project plans. Gathered requirements and developed project plans. Leveraged artificial intelligence and machine learning algorithms for standalone products and enhanced existing product offerings. Designed customized solutions for proposals to customers. Organized system hardware and software testing with development teams for transparent implementation.
EDUCATION
Bachelor of Science
The University of Texas at El Paso, December 2022
Computer Science
PORTFOLIO PROJECTS
Anomaly Detection Utilizing Machine Learning
Developed a procedure utilizing machine learning to reduce the dimensionality of Euclidean datasets, enabling evaluators to apply standard mathematical formulas, like the interquartile range, for outlier detection. The document is structured for clarity, enabling future testers to apply the defined machine learning methodology in developing other AI applications. Utilized Python, NumPy, Pandas, and TensorFlow.
4/22/2024 -5/5/2025
Chemical, Biological, Radiological, and Nuclear Hazard Detector
Led system operations during all testing events participated in. Conducted data collection, reduction, and validation. Developed a GUI and AI tool to facilitate data reduction. Identified potential system risks for future experiments. Created a script to assess data integrity. Utilized Linux, MVC Architecture, NumPy, Pandas, Python, PySide6, and PyTorch.
5/13/2024 -5/5/2025
Threat Resistant GPS Receiver
Identified potential risks of the system to be tested in future experimentation. Built scripts and algorithms to handle data consolidation and test trial creation. Utilized Python.
4/22/2024 -11/15/2024
CAN-Bus Traffic Visualizer
A graphical user interface to visualize and interact with the internal network present in most modern-day vehicles. Developed UML use case, class, state transition, and data flow diagrams. Created for the Cyber Experimentation and Analysis Division within the U.S. Army Combat Capabilities Development Command Analysis Center. Led the backend portion of the team and designed the frontend. Utilized the MERN stack.
1/10/2022 -12/5/2022
Verified Full Stack Developer
0-2 years of experience
Preferred commitment: Hourly
Languages
Skills
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