Josh Mocek
@joshmocek
I build production computer vision systems for real-time retail inventory and defect detection.
United StatesWhat I'm looking for
At Walmart, I architect and deploy object detection and semantic segmentation models for retail inventory and shelf monitoring, improving detection accuracy by 18% under variable lighting and occlusion.
I lead end-to-end ML pipelines spanning data ingestion, augmentation, PyTorch Lightning training, FastAPI model serving, and Kubernetes deployment. I also built monitored ML services with Prometheus, optimized OpenCV preprocessing for a 25% edge-inference speedup, and reduced downtime by 30% through model-drift and data-pipeline alerting.
Previously at Movista, I built image classification and defect-detection systems for supply-chain monitoring, improving classification F1 scores by 12%. I enjoy improving legacy ML systems, making deployments reproducible, and mentoring engineers on evaluation, tuning, and test-driven development.
Experience
Work history, roles, and key accomplishments
Architected and deployed custom object detection and semantic segmentation models for retail inventory and shelf monitoring, improving detection accuracy by 18%. Led end-to-end ML pipelines and implemented monitoring dashboards to reduce downtime by 30%.
Education
Degrees, certifications, and relevant coursework
University of Arkansas
Bachelor's degree, Computer Science
2012 - 2017
Bachelor's degree in Computer Science from the University of Arkansas, Fayetteville, from 2012 to 2017.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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