AI and software engineering leader with 30+ years building products at Microsoft, Amazon, and Apple, from Kinect and Alexa to iPhone, Vision Pro, and Apple Intelligence. Holds 45+ patents.
View on LinkedInI began writing software at a young age and have spent more than three decades pushing the boundaries of what machines can perceive, understand, and accomplish. My work has progressed from graphics and distributed systems through computer vision and edge ML to the rapidly advancing frontier of artificial intelligence. Along the way, I have built and led engineering and research organizations at Microsoft, Amazon, Apple, and venture-backed startups, turning ambitious technical ideas into products used around the world. Today, as a Partner at Techquity, I advise executives, founders, and investors on AI strategy, technical diligence, architecture, and engineering leadership. What energizes me most is the moment when technical possibility must become a durable product, a high-performing organization, and a viable business.
At Microsoft, I recruited and led the team that built Kinect for Windows, then led global-scale platforms supporting Xbox One and the Microsoft Store on Windows 10. At Amazon, I led the engineering team that launched Alexa's far-field voice shopping experience and architected Fire TV's global search and discovery platform. As VP of Engineering at Xnor.ai, I scaled the company's R&D organization and drove the commercialization of efficient deep-learning technology for edge devices, culminating in the company's $200 million acquisition by Apple. At Apple, I led an applied AI/ML research and engineering organization of 100+ researchers and developers whose work shipped across products including iPhone, Vision Pro, and Apple Intelligence. Earlier in my career, I held key leadership roles at Wildseed and co-founded Varia Mobile, guiding both companies through acquisition.
I help CEOs, boards, investors, and technology leaders make high-consequence decisions about AI and software. My work includes AI strategy and roadmaps, technical due diligence, product and platform architecture, engineering organization design, and turning emerging research into market-ready products. I bring an operator's perspective to these challenges: how to determine what is technically real, identify the capabilities that matter, assemble the right team, and move from prototype to reliable, scalable product. My goal is to translate technical possibility into clear priorities, executable plans, and measurable business value.
I joined Techquity to help leaders navigate consequential decisions in the AI era, drawing on decades of experience building and scaling technology organizations. Techquity brings together seasoned operators who understand that a successful technology strategy requires more than recognizing what is possible—it requires determining what will create meaningful business value and knowing how to deliver it. I value the opportunity to work alongside colleagues with deep operating expertise while helping clients navigate AI, product, engineering, and technology transformation with clarity and confidence.