Tristan Antonsen

About Tristan Antonsen

I’m a Technical Product Manager at nTop, leading the Build (modeling) team and driving next-generation implicit modeling and computational design capabilities. I created the flagship technical demos used in nTop’s LinkedIn marketing and executive presentations for key Aerospace & Defense customers, and I’ve helped shape how nTop becomes AI-friendly and more accessible through AI-driven workflows.I bring 6+ years of experience across mechanical engineering, computational design, and digital manufacturing, with a focus on parametric geometry, implicit modeling, and delivering features that unlock high-value engineering workflows in A&D and advanced industries.My background includes deep experience across modern CAD tools (SolidWorks, Creo, NX, Onshape, Rhino/Grasshopper, Blender, nTop) and hands-on prototyping of new modeling features in Python and Rust.I also leverage advanced AI tools including ChatGPT, Claude, and Claude Code to accelerate workflow development, explore modeling logic, and evaluate how AI can enhance engineering design.I’m motivated by building tools that expand what engineers can design, simulate, and manufacture by shaping the future of computational modeling (especially implicit modeling).

Experience

1. Technical Product Manager

   nTop

   Jun 2025 — Present

   Product manager for nTop’s next-generation Build (modeling) team, leading strategy and delivery of implicit modeling and computational design tools.Highlights- Responsible for releasing the modeling features that enabled nTop’s pivot into the Aerospace & Defense industry- Created the flagship technical demos used in marketing, LinkedIn content, and all executive-level presentations with strategic A&D customers, helping define nTop’s public narrative and accelerating customer adoption- Authored principles, best practices, and training material for aircraft modeling in nTop; adopted to onboard the entire technical team- Built high-impact technical demonstrations used by senior leadership in strategic customer engagements throughout 2025- Shipped nTop’s first implicit modeling debugging tools, enabling engineers to diagnose model failures and accelerate iteration- Designed and released new rendering modes optimized for implicit modeling, improving user comprehension and adoption of implicit workflows- Led development of a prototype system for annotating implicit models and generating mesh face groups, enabling direct export to STAR-CCM+ and other CAE tools for simulation-ready workflows.

Education

• University of Illinois Urbana-Champaign

  Bachelor's degree, Mechanical Engineering

  2015 — 2020