Physical AI & intelligent inspection
Vision-language-model-based quality inspection, with a focus on defect detection, localization, and validation toward production readiness.
Robotics & Physical AI Team Lead / Accenture
I lead teams turning AI and robotics into systems for the real world.
I connect Physical AI, Spatial AI, computer vision, and digital-world technologies to complex industrial challenges, from intelligent inspection to simulation and spatial understanding.
Engineering forthe physical world
Where technology meets operations
Building intelligence that works in the real world.
My work spans the systems, teams, and environments needed to move emerging technologies toward practical industrial use.
Spatial AI & digital worlds
Connecting reality capture, 2D/3D vision, LiDAR, simulation, and digital twins to spatially aware applications.
Robotics, simulation & automation
Bringing robotics, virtual commissioning, synthetic data, and intelligent automation together for complex operating environments.
Architecture from ambiguity
Turning business challenges into system frameworks, engineering requirements, validation strategies, and technical roadmaps.
Technical leadership
From ambitious idea to aligned delivery.
I bring technical depth and a techno-functional perspective to the decisions that help multidisciplinary teams build with purpose.
Cross-functional team leadership
Led teams of 20+ engineers delivering Physical AI-centric work across automotive, manufacturing, and utility sectors.
Architecture & technical direction
Shaped system frameworks and roadmaps, translating high-level ambiguity into actionable engineering direction and production-ready software.
Stakeholder alignment & value
Advised senior leaders, facilitated technical conversations, and used user journeys and performance metrics to articulate product and client value.
Selected work & technical perspective
Engineering, from sensors to systems.
A selection of robotics, perception, and deployment work that grounds my approach to Physical AI.
Deep learning / ROS 2 / deployment
Multi-task learning, from model to robot
Exploring a Hydranet workflow through model learning, C++ deployment, and ROS 2 integration.
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Perception / sensor fusion / ROS
Multi-object tracking with YOLO & EKF
Combining object detection, IoU association, and state estimation in a robotics tracking pipeline.
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Spatial perception / research
A perspective on Bird's Eye View networks
A technical exploration of BEV representations, lifting strategies, and their place in autonomous systems.
Read the perspectiveThese selected personal projects and technical perspectives complement my current professional work.
The perspective behind the work
A robotics foundation. An industrial lens.
I’m a Physical and Spatial AI technology leader focused on bridging advanced technology with real operational challenges. My work has grown from autonomous-driving perception into automotive manufacturing, infrastructure, data centers, and industrial automation.
Across that journey, I’ve worked at the intersection of robotics, computer vision, 3D sensing, simulation, digital twins, and intelligent automation—while helping teams clarify the problem, shape the architecture, and validate the solution.
Engineering foundation
Robotics · ADAS · Perception · Sensor fusion · Functional safety
Education
M.S. Mechatronics, Oakland University · B.S. Mechanical Engineering, University of Louisiana at Lafayette
Have a complex problem to solve?
Let's build something that matters.
For conversations about Physical AI, Spatial AI, robotics, or technical leadership, get in touch.
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