Miro Enev is a manager in solution architecture and data science at NVIDIA with 11 years of experience applying deep learning and AI research to real-world business challenges. He holds a PhD in Computer Science from the University of Washington and a BA in Cognitive Science from UC Berkeley, blending cognitive insights with technical rigor in sensor and privacy-aware ML. Previously a Principal Data Scientist at Phyn, he developed sensor-driven leak detection and water-conservation models for IoT deployments. Miro focuses on advancing machine intelligence while embedding human values and privacy considerations into future technology ecosystems. Based in Seattle, he combines research-led thinking with hands-on solutions architecture, often operating at the intersection of academic rigor and product-driven engineering.
11 years of coding experience
Bachelor of Arts (BA), Cognitive Science, Bachelor of Arts (BA), Cognitive Science at University of California, Berkeley
Doctor of Philosophy (Ph.D.), Computer Science and Engineering, Doctor of Philosophy (Ph.D.), Computer Science and Engineering at University of Washington
Contributions:101 commits, 7 PRs, 90 pushes in 10 months
deep-learningpythonmachine-learningrapids
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Miro Enev - Manager, Solution Architecture & Data Science