Kyle Musgrove
Staff Member at Oak Ridge National Laboratory | Computer Scientist
Data Engineer | Artificial Intelligence | Machine Learning | Deep Learning
Developing robust AI systems for real-world deployment
Get In TouchAbout Me
4+
Years AI/ML Experience
10+
Technical Projects
ETL/ELT
Data Engineering & Pipelines
ORNL
Oak Ridge National Lab - Staff Member
Applied-AI specialist and Data Engineer developing robust, multi-modal systems for real-world deployment. A Staff Member at Oak Ridge National Laboratory, with a focus on behavioral biometrics and isotope applications.
In addition to my work with sensor data and computer vision, I have extensive experience with Natural Language Processing (NLP), Large Language Models (LLMs), and Vision-Language Models (VLMs). My expertise includes developing and implementing Retrieval-Augmented Generation (RAG) systems, fine-tuning language models for domain-specific applications, and creating multimodal AI systems that integrate text, vision, and sensor data for comprehensive understanding and analysis.
My research interests span driver authentication via multi-modal sensor fusion, including deep learning models for identifying drivers from CAN-bus, GPS, and biometric data in collaboration with ORNL and Colorado State University; lung nodule detection and segmentation from 3D medical imaging, leveraging CNN-based systems on volumetric CT data to improve diagnostic accuracy and reduce false positives with partners at UT Medical Center; and the development of robust AI systems for critical applications, such as facial recognition pipelines, custom LLMs with RAG integration for textual analysis, and real-time object detection frameworks optimized for deployment in high-stakes environments like behavioral biometrics and medical vision.
When not in the lab, I enjoy spending time with my wife and son, diving into theology, working out, playing board games, and traveling.
Education
M.S. Computer Science
University of Tennessee, Knoxville
2025
Specialized in machine learning and deep learning applications
B.S. Software Engineering
Kennesaw State University
2022
Foundation in software engineering principles and practices
Certifications
DeepLearning.AI
Andrew Ng's Specializations
- • Machine Learning Specialization
- • Deep Learning Specialization
- • Generative AI with Large Language Models
Data Science & Machine Learning
Udemy Professional Certifications
- • The Data Science Course 2023: Complete Data Science Bootcamp
- • Azure Machine Learning & MLOps: Beginner to Advance
Programming & Systems
Udemy Professional Certifications
- • Complete Python Developer in 2023: Zero to Mastery
- • The Complete JavaScript Course 2023: From Zero to Expert!
- • The Complete Java Certification Course
- • Learn Linux in 5 Days and Level Up Your Career
Teaching
COSC 325: Introduction to Machine Learning
Graduate Teaching Assistant
2024 - 2026
Creating PyTorch and Scikit-Learn labs, developing hands-on exercises for fundamental ML concepts, designing quizzes, and grading exams. Supporting students in understanding supervised and unsupervised learning algorithms, feature engineering, and model evaluation techniques.
COSC 525: Deep Learning
Graduate Teaching Assistant
2024 - 2026
Developing CNN and Transformer workshops, creating advanced neural network implementations, designing comprehensive assessments, and grading complex deep learning projects. Mentoring students in understanding architectures like ResNet, RNNs, and Transformer models.
Lab Infrastructure Manager
MARCI Lab
2025 - 2026
Managing four research compute machines, including a multi-GPU HPC cluster, for the lab group, including system administration, user access, cybersecurity, and performance optimization for AI/ML applications.
UTK Machine Learning Club
Officer
2024 - 2026
Organizing research talks, creating AI/ML workshops, and providing research mentoring sessions for students
Research
Driver-ID via Sensor Embeddings
Lead researcher developing deep learning models to uniquely identify drivers from CAN-bus, GPS, and biometric sensor data. Collaborative project with Oak Ridge National Laboratory and Colorado State University.
Technologies: Deep Learning, Multi-modal Fusion, Sensor Data Processing
Facial Recognition Systems
Developing robust facial recognition pipelines using deep learning for identity verification.
Technologies: Face Recognition, Re-identification, Computer Vision
Large Language Models & RAG Systems
Developing custom LLMs trained on historical and multilingual corpora, with applications in textual analysis and knowledge grounding using retrieval-augmented generation.
Technologies: LLMs, NLP, RAG, Knowledge Retrieval
3D Lung-Nodule Detection & Segmentation
Developing CNN-based systems for lung nodule identification using volumetric CT data. Focus on improving accuracy and reducing false positives in medical imaging applications. Collaborative project with UT Medical Center.
Technologies: CNN, Medical Imaging, 3D Segmentation, DICOM Processing
Previous Research
Experience in Retrieval-Augmented Generation (RAG) and Real-time Object Detection & Segmentation systems for various applications.
Technologies: RAG, Object Detection, Computer Vision
Technical Skills
Python
PyTorch
Computer Vision
Deep Learning
Machine Learning
Time Series Analysis
Medical Imaging
Data Analysis
Feature Engineering
Multi-Modal Sensor Fusion
Statistical Analysis
C/C++
Signal Processing
OpenCV
Data Preprocessing
Linux/Unix
Git & GitHub
Behavioral Biometrics
JavaScript
CUDA & GPU Computing
TensorFlow
R
Multi-GPU Cluster Management
Linux System Administration
Research Computing
Projects
Tennessee Real Estate Dashboard
Interactive analytics dashboard tracking housing and land listings across Tennessee counties with market trends, slope/elevation analysis, price history, and markup metrics.
GroundingDINO-Med
Medical imaging model fine-tuned on VinBigData Chest X-rays for enhanced diagnostic accuracy.
Theological & Historical LLM
Building a specialized language model from scratch for biblical and historical text analysis with multilingual translation of Hebrew, Aramaic, and Greek sources, integrating canonical, apocryphal, and archaeological texts.
MultiCam Athletic ID
Robust facial recognition for player identification systems maintaining accurate tracking across multiple camera feeds in high-speed sports environments, optimized for motion blur and varying image quality.
GA-Pruned CLIP
Implementation of genetic algorithms to optimize CLIP models for improved efficiency and performance.
Rate & Relocate
Web application for employer ratings and financial relocation planning with advanced analytics.
RISC-V Operating System
Developed a basic operating system kernel in C/C++ for RISC-V architecture from scratch.
Understanding AI
Making AI accessible through interactive visualizations. I create visual explanations of complex machine learning concepts to help people understand how neural networks and AI systems actually work from the mathematics to the intuition.
Interactive Neural Network Visualizations
Explore step-by-step animations showing how neural networks learn, process information, and make predictions. Watch concepts like backpropagation, weight updates, and forward propagation come to life through interactive demonstrations.