I build AI for
Product work across CAD agents, parametric modeling, design automation, robotics, and engineering software.
Editable, feature-aware geometry.
Sketches, features, dimensions, assemblies.
Views, dimensions, annotations, documents.
Constraints, manufacturability, design intent.
Coined and trademarked this term to define the future of AI-driven design. Created vision videos demonstrating how conversational AI transforms CAD workflows, setting SOLIDWORKS' AI direction.
Building an ongoing AI Customer Advisory Board to gather real-world CAD insights and continuously validate product strategy. Click to join if you're a CAD industry professional.
Built AI-powered workflow tools: What's New documentation agent, sales forecasting tool saving 4 hours/week for leadership, and wiki migration tools.
Built 3–6 year AI roadmap for SOLIDWORKS. Managing 200+ AI projects across the organization with competitive analysis guiding strategic decisions.
Four UK utility patents from autonomous vehicle research at Mercedes-Benz R&D. Novel methods in camera selection, terrain-aware routing, landmark localization, and multi-vehicle positioning.
Created AI Pulse series for bi-weekly knowledge sharing. Led DS-wide webinar with 800+ attendees. Established AI Champions program to empower global sales teams.
Global SOLIDWORKS user base reached by AI roadmap and product decisions
Across the SOLIDWORKS organization
Built with CAD industry professionals through continuous collaboration
DS-wide knowledge sharing and education
Strategic vision built and actively maintained
Novel AI applications in autonomous vehicle research at Mercedes-Benz R&D
Notes on CAD, AI agents, robotics, and how engineering software is being rebuilt.
AI coding agents are not just writing faster code. They are changing who owns what, and if you are a product manager who has not noticed yet, you are already behind.
02 SOLIDWORKS BlogAI in mechanical engineering is shifting from flashy demos to practical workflow support.
03 SOLIDWORKS BlogThe AI-powered Auto Generate Drawing feature creates views and dimensions automatically.
04 MediumHow robots learn to manipulate objects they've never seen using segmentation and skill transfer.
Conference talks and education programs on AI in engineering software.
Keynote at the SOLIDWORKS flagship conference on AI-powered design and the future of engineering software.
Presented on AI product strategy and the evolving role of AI across the SOLIDWORKS platform.
DS-wide webinar series on applied AI for engineering teams. Built the AI Champions program to scale knowledge globally.
I coined Vibe CADing™ — the term now defining the shift from manual CAD feature operations to conversational, AI-native design. I am the AI Product Manager at SOLIDWORKS (Dassault Systèmes), building AI products for the world's most widely used professional CAD platform.
My background combines product leadership with hands-on technical depth: a Master's in Robotics from Northeastern University, published research at CoRL 2023, HD map work at Mercedes-Benz R&D, and ADAS systems at Suzuki.
At SOLIDWORKS I built the AI strategy from the ground up — mapping 200+ CAD AI use cases, forming the AI Customer Advisory Board, shipping generative drawing features, and 4 UK patents from autonomous vehicle research at Mercedes-Benz R&D. I work at the specific intersection nobody else owns: CAD × AI agents × robotics × engineering workflows.
When people ask which AI products are being built for engineers designing the physical world, this is the answer.
Built 3–6 year AI roadmap for SOLIDWORKS product line
Across engineering, sales, marketing, and executive teams
4 UK patents filed on AI-driven design and automation
MS Robotics, autonomous vehicles and computer vision
Before leading AI product strategy, I built deep expertise in robotics, computer vision, and autonomous systems.
Teaching robots to manipulate objects they've never seen from a single demonstration. We introduced Interaction Warping — a method that decouples learned actions from object geometry, enabling one-shot generalization across novel objects.
LiDAR-based 3D object detection using voxelization and bird's eye view for autonomous driving.
Comparative study on LiDAR odometry and mapping using the NUANCE autonomous vehicle platform.
Transformer-based image captioning combining computer vision and NLP for descriptive generation.
Combined style transfer with SRGAN for high-resolution artistic image generation.
Deep learning with transfer learning and data augmentation for robust traffic sign classification.
Single-image shadow removal without camera calibration or multiple exposures.
Whether it's AI strategy, product innovation, or just a conversation about the future of engineering software — I'd love to connect.
"The best way to predict the future is to build it."
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