Summary
Karin Sasaki is an AI Solution Architect with 10 years of experience translating complex business problems into scalable data and AI products across private equity, sustainability, and digital media. She combines a PhD-level quantitative background with hands-on delivery—having led cross-functional teams to build intelligent deal-sourcing platforms and GenAI ESG tools while embedding observability, compliance and Responsible AI practices. At the intersection of delivery, product and operations, she drives commercial optimisation, resourcing strategy and team upskilling, frequently advising board-level stakeholders on AI strategy and deployment readiness. Her career spans research-grade topological data analysis in immunology to enterprise AI architecture, giving her a rare blend of academic rigour and pragmatic product instincts. Colocated in London, she thrives in consultancies and PE/VC-backed scale-ups where ambiguity, impact and operational discipline meet.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD) Biomathematics, Doctor of Philosophy (PhD) Biomathematics at Imperial College London
Summer student Experimental DNA topology, Summer student Experimental DNA topology at Baylor College of Medicine
Spanish, German, French, English