
What I do
I engineer AI systems that simulate human health — combining motion modeling, clinical data, and infrastructure. These eight areas together power my work in real-time digital twins and medical AI.online resume andproject portfolio.


Medical AI Engineer
Designing AI tools for clinical workflows — including organ donation prediction, scoring systems, and outcome modeling.


Motion & Digital Twin Modeling
Using BVH, SMPL, and BAMM to simulate movement, physiology, and behavior for AI-powered digital twins.


AI Model Training & Optimization
Fine-tuning transformer, VQGAN, and CNN models on motion and biomedical datasets using PyTorch and ONNX.


CoreML & Edge AI Deployment
Converting and optimizing models for mobile inference using CoreML, achieving 2x speedups on Apple silicon.


GPU Infrastructure Engineering
Training at scale using A6000 GPU clusters and a custom-built home lab with NAS + 10GbE networking.


API & Full-Stack Integration
Developing FastAPI backends and React frontends for deploying AI features into full applications.


Hackathon Innovation
Built award-winning prototypes including voice translators and health scoring tools; 5-time hackathon champion.


AI Education & Mentorship
Mentoring students through Stanford AI4ALL and UNCC; focused on inclusive, impactful AI learning.
Featured Projects
My step-by-step guide ensures a smooth project journey, from the initial consultation to the final delivery. I take care of every detail, allowing you to focus on what you do best.
What Others Say
Feedback from mentors, collaborators, and peers I've worked with across research, engineering, and academic leadership.
Latest Blog Posts
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