Thunder Shiviah is a Zurich-based ML/DL leader and founder with 12 years of experience scaling machine learning from research prototypes to investor-ready products. As Co-Founder and CEO of Moneta Studio and former Chief Analytics Officer at Spiden, he built and managed multi-disciplinary ML teams and shipped novel computer-vision APIs that turned spectroscopy into actionable biomarkers and helped secure $18M in funding. He led Databricks’ global GTM data science practice and was the first North American ML engineer at QuantumBlack, blending customer-facing solution architecture with deep technical delivery. Comfortable moving between hands-on model development, org design, and investor-facing strategy, he also has a history of building open research tools for neuroscience image analysis—reflecting a career that bridges academic rigor and commercial impact.
12 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS) Mathematics Physics, Bachelor of Science (BS) Mathematics Physics at University of Oregon
Contributions:5 commits, 2 PRs, 79 pushes in 2 months
guildpythonpython-resources
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