Julian Marcon
Staff Engineer · Luminary
PhD in computational geometry from Imperial College, transitioned into building geometry platforms for physics AI at Luminary. Combines academic rigor (NASA background, published research) with production C++ engineering, focusing on leveraging existing code, papers, and APIs to build practical systems.
Why: Nearly perfect match: PhD computational geometer building physics AI geometry platforms in C++. Strong physics-geometry integration and academic-to-industry bridge. Less emphasis on 3D printing/manufacturing specifics than Shane, but otherwise extremely aligned career trajectory.
Adrian Butscher
Distinguished Research Scientist · Autodesk Research
Distinguished Research Scientist at Autodesk focusing on geometry processing and physical simulation. Designs algorithms for analysis, synthesis, and simulation of discretized 3D geometry, bridging mathematical rigor with production CAD/design software applications.
Why: Strong alignment on geometry processing + physical simulation in production contexts. Research-oriented role at major CAD company bridges theory and application. Less startup/scrappy engineering emphasis than Shane, more established research institution context.
Muhammad Naeem A.
Director R&D and Founding Engineer · Palatial
Computer Science PhD specializing in computational geometry and 3D modeling for numerical simulations, CAD, and FEM. Founding engineer role combining deep technical expertise in geometry processing with startup product development for simulation applications.
Why: PhD computational geometer in founding engineering role, strong physics simulation integration (FEM, numerical simulations). Excellent academic-to-startup bridge. Slightly less emphasis on manufacturing pipeline specifics and more on general CAD/simulation.
Nachiket Patil
Innovation, Computational Geometry, Full-Stack, Advanced Manufacturing and AI
PhD in Industrial Engineering with 10+ years translating academic concepts into applications across manufacturing and healthcare startups. Specializes in computational geometry, advanced manufacturing, and AI-driven design automation in high-tech production contexts.
Why: Strong manufacturing + AI automation focus with academic foundation. Excellent on translating theory to practice in startups. Industrial Engineering PhD rather than pure math, but otherwise very aligned on manufacturing technology and design automation.
Sanjay Kumar
Head of AI Development
Mathematics PhD in quantum topology and hyperbolic geometry, now leading AI development applying geometric deep learning and topological data analysis. Bridges pure mathematical training (3-manifolds, hyperbolic geometry) with applied computational frameworks for solving practical challenges.
Why: Perfect match on pure math background (topology, hyperbolic geometry PhD) transitioning to applied work. Strong on geometric deep learning and AI. Less focus on physical manufacturing/CAD systems and more on ML/AI applications of geometric concepts.
Rhys Goldstein
Geometry Processing Developer · Metafold 3D
Programmer specializing in making cutting-edge geometry processing algorithms useful to scientists, engineers, and designers. Published dozens of research papers while building practical tools, collaborating across multiple fields to bridge academic algorithms and production applications.
Why: Strong geometry processing + 3D manufacturing (Metafold 3D) alignment. Publishes research while building practical tools. Less emphasis on physics simulation integration, but excellent on making algorithms production-ready for engineering applications.
Gregory Burton
Computational Geometry Engineering Lead · Fictiv
21+ years leading computational geometry engineering at Fictiv, a digital manufacturing platform. Builds geometry processing systems for manufacturing applications, focusing on production-scale geometric computation for physical fabrication workflows.
Why: Excellent on production geometry systems for manufacturing (Fictiv). Strong engineering leadership in digital fabrication. Less visible academic/research background compared to Shane's PhD trajectory, more pure engineering focus.
Dmitry Anisimov
Geometry Lead · Samp
Geometry processing specialist with solid academic background, leading geometric algorithm development for industrial applications. Passionate about open-source initiatives and pushing boundaries of geometric algorithms across various industries.
Why: Strong academic-to-industry geometry processing trajectory. Open-source focus and algorithm development for industrial applications. Less specific emphasis on manufacturing pipeline and physics simulation compared to Shane.
Gaurav Rathod
Founding Engineer
Software engineer with 8+ years in C++ and Python, specializing in computational geometry and turning tough geometric problems into real-world tools. Founding engineer who built products from scratch through acquisition, focusing on practical geometry processing systems.
Why: Strong C++ geometry systems builder in startup context (0→1 founding engineer). Practical focus on real-world tools. Less visible academic research background and physics simulation integration compared to Shane.
Alexander Shamanskiy
Senior CAD Software Developer · SimScale
Software Engineer and Applied Mathematician specializing in geometry for CAD and simulation platforms. 14+ years combining mathematical rigor with practical software engineering for web-based simulation and geometric modeling systems.
Why: Applied mathematician building CAD software for simulation (SimScale). Strong geometry + physics simulation integration. Less emphasis on manufacturing/3D printing pipeline and more on general CAD/FEA workflows.
