Greater Seattle Area
Technology executive and applied researcher with 20+ years of experience architecting AI/ML applications, distributed systems, and data platforms. I specialize in building high-trust, operational intelligence systems that bring structural rigor to complex domains. Current Leadership & Initiatives: - LegalMation (Chief AI Officer): Spearheading an enterprise AI platform that transforms unstructured documents into structured, continuously self-optimizing knowledge networks. - FILMIQ.AI (CTO): Architecting production telemetry and intelligence platforms for physical industries. - Eigenius.io (Creator): Developing an open-source platform that provides machine-checkable epistemic warranty and verifiable proofs for AI in science and engineering. - Advisory: Serving as a Scientific & Technical Advisor to AI startups across diverse domains—including life sciences (EuropaDX) and retail operations/enterprise data architecture (Sankyra)—and as a Guest Mentor at Creative Destruction Lab (CDL-Seattle). Previous Experience: Led R&D from exploration to product incubation at SAP (GreenToken), launched Amazon Translate and established Amazon's secure ML compute platform, and developed genomic data analysis platforms at Rosetta Biosoftware/Microsoft. Education: PhD in Computer Science, ETH Zurich, Switzerland.
As Chief AI Officer at LegalMation, I'm spearheading the development of a transformative enterprise AI platform that revolutionizes how organizations extract, manage, and utilize document-based knowledge. Our solution features advanced self-reflection and continuous self-optimization capabilities, creating an intelligent system that evolves and improves through learning. Key initiatives: - Leading the creation of proprietary AI technology that transforms unstructured documents into structured, interconnected knowledge - Driving innovation in traceable document generation with built-in compliance verification - Architecting an evolving organizational knowledge foundation with self-reflection capabilities that identify improvement opportunities autonomously - Implementing intelligent governance systems that continuously self-optimize document-centric workflows without human intervention
I am serving as guest mentor for the manufacturing track of the CDL-Seattle at the University of Washington’s Foster School of Business.