I am a foundry engineer. Since 2006 I have designed casting technology, run casting simulations and brought new foundries into production. Over my career I have developed about 1,000 casting technologies.

I did not retrain as an AI engineer. I learned modern AI, from graph neural networks to language models, so that I could combine it with what I know about casting. I use it to build software tools for foundries and metallurgy: a GPU solidification solver, a neural network that predicts hot spots from a STEP file in seconds, and shop-floor software where workers report by voice and a person stays in control of what gets saved.

My dream is to bring about a revolution in the modern foundry: a casting engineer gets a solidification answer in seconds, AI suggests the gating and feeding, and the engineer makes the final call with years of practice behind it.

Downloads: CV (English, PDF) · Lebenslauf (German, PDF)

Experience

  • Founder and AI engineer, FoundryFlash (independent R&D), Senftenberg, since May 2026. I build a GPU casting simulator, a GNN surrogate and an AI-assisted foundry ERP/MES. See Projects.
  • Foundry engineer, project management, SLR-Elsterheide GmbH, Sep 2022 to Apr 2026. I introduced AI technology into production, designed gating and feeding in MAGMASOFT, and brought 3D printing into the pattern shop, which cut tooling lead times several-fold.
  • Foundry engineer, project management, Kunstgiesserei Lauchhammer KG, Aug 2020 to Aug 2022. I led the commissioning of an induction melting plant and an investment casting line. Equipment I designed halved the cycle time and cut energy use by about 30%, and I built a large-format wax 3D printer for patterns.
  • Head of Design & Metallurgy, Giesserei Elsterberg GmbH, Mar 2015 to Jul 2020. I developed more than 400 complete casting technologies for complex industrial castings, simulated in WinCast, and ran design, metallurgy and production as one team.
  • Foundry projects alongside employment, 2016 and 2020. I commissioned a greenfield foundry for uranium-mining pump systems in Kazakhstan and developed FEM-supported casting technology for diesel-engine castings in Latvia.
  • Foundry technology engineer, Kyiv and Malyn, Ukraine, 2010 to 2014. I developed a lost-foam technology for metro tunnel segments, about 20% cheaper than no-bake moulding, and commissioned a V-process moulding line.

Skills

  • Casting and metallurgy: gating and feeding design, defect analysis, investment, sand, lost-foam and die casting, MAGMASOFT, ProCAST, WinCast, SolidWorks
  • 3D printing: printed sand moulds and cores, large-format wax patterns, 3D printing in the pattern shop
  • Simulation: FEM and CVFEM, enthalpy solidification models, implicit solvers, CUDA.jl, FEniCSx, Gmsh
  • Physics-based machine learning: graph neural networks (MeshGraphNets), PyTorch, PyTorch Geometric, surrogate models
  • Language models: structured output, agents, human-in-the-loop design, models running on premises (Ollama, Qwen, Whisper)
  • Software: Python, Julia, TypeScript, SQL, FastAPI, React, SvelteKit, three.js, PostgreSQL, Docker, test-driven development

Education and certificates

  • M.Sc. Foundry Engineering, National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", 2003 to 2009. The degree was recognised by the Saxony Chamber of Engineers (Ingenieurkammer Sachsen) in 2020.
  • AI Engineering, Turing College, 2026: 520 hours on LLM applications, retrieval-augmented generation, AI agents and a capstone project.
  • A Deep Dive into Claude Code, Profile Virtual School, 2026.