James Puchin is a Machine Learning Security Researcher in San Francisco with 11 years of cross-disciplinary experience spanning ML, C++, Java, Python, and cloud-native deployment (Kubeflow, Kubernetes, AWS). He designs and ships production ML systems for email security at Cisco and has deep hands-on experience optimizing ML pipelines from low-level convolution kernels to data samplers and mobile integrations. His background uniquely bridges bioanalytical lab work (mass spectrometry, protein assays) and applied CS, giving him an uncommon perspective on signal processing and robust feature design. He has led architecture redesigns, authored design docs, and delivered client projects on time at startups and enterprise teams. A CS MS graduate, he tinkers on GitHub with applied ML projects and maintains practical expertise in Android and LAMP stacks. Fluent in practical engineering and scientific methods, he excels at turning research-grade ideas into scalable, auditable systems.
11 years of coding experience
14 years of employment as a software developer
Certificate with Distinction, Certificate with Distinction at University of California, Berkeley
Master’s Degree, Master’s Degree at San Francisco State University
Contributions:5 pushes, 1 branch in 1 year 4 months
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