Senior Machine Learning Engineer at Lowe's Companies, Inc.
Colbert, Washington, United States
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Summary
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Senior
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Top School
Manuel Cuevas is a software engineer with 9 years of experience building production-grade computer vision and machine learning systems across retail, biometrics, and industrial automation. He has driven measurable impact—5x faster image annotation workflows and a 40% improvement in machine vision accuracy—by architecting end-to-end pipelines and deploying models at scale using GCP and AWS containerized infrastructure. His work spans embedded firmware and IoT to advanced 3D room modeling and AR, combining low-level hardware integration with state-of-the-art deep learning for segmentation, detection, and biometric spoofing defense. Comfortable in C++, Python, and JavaScript, he has shipped solutions using PyTorch/TensorFlow, Kubernetes, and MLOps best practices. A Georgia Tech CS master’s and a background in computer engineering inform his blend of research-driven algorithm design and pragmatic production engineering. Colocated in Colbert, WA, he brings a curiosity for practical innovation—often inventing proprietary algorithms for spatial reasoning and precise object placement in AR.
10 years of coding experience
8 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of Technology
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