Full-Stack Engineer with Cloud & ML Focus

Joshua Hatfield

Huntington, WV • ***********@********.*** • 304-***-****

LinkedIn • GitHub

Career Objective _

Graduate Computer Science researcher specializing in machine learning, VR/AR simulation, embedded systems, and data-driven software development. Experienced in national research, ML optimization, reinforcement-learning environments, and cloud-based engineering. Passionate about building real-world systems that combine AI, interaction, and human-centered design. Technical Skills _

Languages: Python, C++, C, Java, C#, Go, Lua, JavaScript, SQL, Verilog Frameworks/Tools: PyTorch, TensorFlow, TVM, React, Node.js, Git, Azure, Unreal Engine 5, Blender, MongoDB, SQL Server, OpenCV, Wireshark

Hardware/Systems: FPGAs, Arduinos, Embedded Systems, Linux Domains: Reinforcement Learning, Machine Learning, VR Simulation, Data Science, Procedural Generation, Cryptography/Entropy, Databases

Education _

Marshall University, Huntington, WV

(GPA: 4.0) M.S. in Computer Science Expected May 2026

(GPA: 3.9) B.S. in Computer Science with Honors May 2025 Minor: Mathematics

Work Experience _

(Graduate) Research Assistant – Marshall University Aug 2023 – Present

• Lead researcher on VR-based industrial training simulation using reinforcement learning for adaptive user feedback.

• Designed ML-driven frameworks to evaluate human performance and update scenario complexity dynamically.

• Awarded the Creative Discovery and Research Award (2024) for innovative COVID-19 simulation and social-cost modeling work.

Future Computer Summer Intern – National Security Agency (NSA) Jun – Aug 2024

• Engineered an FPGA-based True Random Number Generator achieving 99%+ NIST-verified randomness for secure cryptographic applications.

• Authored comprehensive validation reports and presented outcomes to agency technical cohort.

• Contributed to the design of reproducible embedded-security frameworks and entropy verification systems.

Research Experience for Undergraduates (REU)– University of Louisville Jun – Aug 2023

• Optimized Tensor Virtual Machine (TVM) inferences across variable CPU frequencies for heterogeneous computing environments.

• Conducted benchmark and performance analysis to improve deployment efficiency of ML models on constrained devices.

• Delivered findings during the REU Research Symposium, receiving commendation for clarity and rigor.

Teaching & Mentorship _

Teaching Assistant – Marshall University Aug – Dec 2023

• Guided 40+ students in algorithmic design, graded assignments, and supported course delivery. Honors & Awards _

Summa Cum Laude 2025

ASEE North Central Student Service Award 2025

National Cyber League: Top 500 2025

ALEF Scholar, Appalachian Leadership and Education Foundation 2021-2025 Creative Discovery and Research Award, Marshall University 2024 U.S. Senate Youth Delegate 2020

Leadership & Service _

President, Marshall University Technology Association 2024–Present Member, Engineering Student Advisory Council 2024-Present Professional Affiliations _

• Institute of Electrical and Electronics Engineers (IEEE), Student Member

• Marshall University Technology Association, President

• Appalachian Education Leadership Foundation, Alumni References: Available upon request

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