AI Engineer building agentic AI systems, RAG pipelines, and machine learning applications for enterprise and government use cases.
I work at Invoke Inc., where I build practical AI tools across research automation, document Q&A, codebase analysis, workflow orchestration, and AWS deployments. My background is in computer engineering with a machine learning focus from UNC Charlotte, where my graduate research centered on multimodal AI for gait prediction and restoration.
My work sits at the intersection of applied AI, software engineering, and infrastructure.
My master’s thesis at UNC Charlotte focused on AI gait restoration for disabled individuals.
I developed software to collect and synchronize EMG, gyroscope, accelerometer, and camera data from gait trials, then trained and evaluated multimodal models to determine the most effective approach for gait prediction and restoration.
I designed and deployed a homelab automation platform using Docker, GitHub Actions, Ansible, and Proxmox. The system supports VM provisioning, container deployment workflows, and validation automation, and reflects my interest in reliable infrastructure and repeatable engineering systems.
Outside of client work, I spend a lot of time building infrastructure, automating systems, and experimenting with new AI workflows in my homelab, and I am a volunteer firemen.