Alisha Rege is a versatile AI leader and operator with 10 years of experience translating deep learning and computer vision research into revenue-driving products across healthcare, industrial, and financial domains. Trained at Stanford (CS, AI) and Penn State, she has built and deployed 20+ production models—spanning depth, thermal and RGB vision, time-series anomaly detection, and point-cloud correlation—while shipping solutions at Amazon Go, GE Digital, Accenture, and startups. As a founder and former McKinsey associate, she blends hands-on model development (TensorFlow, PyTorch, Keras) with strategy, having led transformational initiatives that unlocked seven-figure savings and multi-million dollar growth. Currently Chief of Staff to Veho’s CEO, she pairs technical depth with operational rigor—designing KPIs, go-to-market plays, and executive narratives—to scale recurring revenue. An under-the-radar strength is her track record of building clinical- and senior-care-facing computer vision pilots under Dr. Fei-Fei Li that moved from peer-reviewed research to measurable infection- and fall-detection impact.
9 years of coding experience
Master’s Degree Computer Science, Master’s Degree Computer Science at Stanford University
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Penn State University
High School Diploma, High School Diploma at Parkland High School
Master of Business Administration - MBA, Master of Business Administration - MBA at The Wharton School
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