Summary
Shaf Mohammed is a founder and AI-focused entrepreneur with 11 years of multidisciplinary experience spanning data science, product design, and venture-focused platform engineering. He built VenturFlow—an on-premise, audit-first AI platform for venture capital that prioritizes cited answers, fail-closed guardrails, and role-based permissions so deal data never leaves a fund’s perimeter. His background combines a PhD in Learning, Cognition and Development, an MBA in Entrepreneurship, hands-on ML work in computer vision/NLP, and prior roles delivering explainable AI and MLOps at startups and enterprise clients. He’s solved practical research problems—developing ML models that predicted working-memory training gains at 80% accuracy—and translated that rigor into products for financial workflows. As an IBM AI-certified data scientist and former consultant at AbbVie, he blends regulatory awareness with product-driven engineering. Based in Missouri, he’s actively recruiting design partners for VenturFlow and prefers showing a 90-second demo over traditional pitch decks.
11 years of coding experience
8 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Vision Science/Physiological Optics, Vision Science/Physiological Optics at University of Houston
Master of Business Administration - MBA, Entrepreneurship/Entrepreneurial Studies, Master of Business Administration - MBA, Entrepreneurship/Entrepreneurial Studies at Washington University in St. Louis
University of California, Irvine
English, Hindi, Telugu, Urdu, Kannada, Japanese, Sanskrit, Punjabi