I advise business and technology leaders on the strategic implications of emerging technologies, specializing in Physical AI, embodied intelligence, robotics, autonomous systems, world models, VLA, AI infrastructure, and technology investment strategy. My research covers both the opportunities and the safety, security, risk and governance challenges associated with deploying AI in physical environments. I help clients anticipate disruption, evaluate markets and vendors, identify investment opportunities, and build actionable technology roadmaps.
Most recently, I served as Head of Engineering, AI at Envision Pharma Group, where I focused on building and scaling AI capabilities, engineering teams, and supporting platforms. I led the Platform Engineering and Data Engineering teams. Previously, as VP of Engineering at ScreenPoint Medical, I led the development of AI-powered solutions for breast cancer detection and oversaw five teams spanning Application Engineering, Core Engineering, AI Engineering, Cybersecurity, and Infrastructure.
Envision Pharma Group, Head of Engineering, AI, 1 years
ScreenPoint Medical, VP of Engineering, 4 years
MILabs, Lead Software Engineer, 4 years
Lockheed Martin CFT, Sr. Software Engineer, 2 years
Aselsan, (Sr.) (Lead) Software Engineer, 12 years
AI, Automation and Emerging Technology Management
AI Governance and Risk Management
AI Strategy and Business Transformation
Masters Degree on Robotics, Neural Networks and Computer Vision
Bachelors Degree on Electronics Engineering
Evaluating Physical AI, robotics, autonomous systems and edge intelligence opportunities
Assessing AI infrastructure, compute and ecosystem requirements
Physical AI safety, security, risks and governance
World models, vision-language-action models, multimodal AI and agentic AI implications
AI market disruption, vendor landscapes, building AI adoption roadmaps and executive decision frameworks