Manuel Cuevas
Software Engineer at Tech
Colbert, Washington, United States
Summary
👤
Senior🎓
Top SchoolManuel 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.
9 years of coding experience
9 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of TechnologyBrigham Young University-Idaho
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (70)
python10
deep-learning10
fingerprint10
ml10
neural-network10
data-science10
tensorflow10
machine-learning10
deep-neural-networks10
biometrics10
prediction-model9
sklearn8
prophet8
jetson8
pytorch8
Programming languages (4)
Github contributions (5)
cuevas1208/ML_Notes_and_Research
Jan 2018 - Apr 2020
Contributions:12 PRs, 60 pushes, 2 branches in 2 years 3 months
repositoriesnotesdata-sciencedeep-learningmachine-learning
cuevas1208/AI_notes
Feb 2018 - May 2024
Contributions:15 pushes, 1 branch in 6 years 4 months
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