Ingolstadt · ––:––

Jonas
Heinzmann.

Founder of NeuralMedic GmbH. Computer scientist. I build production-grade data and AI platforms for the German Mittelstand — with healthcare-grade compliance by default.

What I'm doing now ↓jonas@neuralmedic.de

MLOpsdbtSnowflakeRAGKubernetesTerraformAWSPostgreSQLNeo4jPythonTypeScriptHealthcare AIGDPR · MDR · ISO 27001Production data platformsMittelstandMLOpsdbtSnowflakeRAGKubernetesTerraformAWSPostgreSQLNeo4jPythonTypeScriptHealthcare AIGDPR · MDR · ISO 27001Production data platformsMittelstand

Now · Late 2026

What I'm working on.

Building: Production data and AI platforms at NeuralMedic — MLOps, RAG, healthcare-grade compliance.
Studying: Artificial Intelligence at TH Ingolstadt — focusing on graph methods, ML systems, and applied research.
Researching: Spectral clustering and similarity graphs inside Neo4j — recently published at IEEE HPCC 2025.
Hiring for: Senior data and ML engineers who want to build production systems in regulated industries. Reach out.

Work

Companies and commitments.

2024 — present

Ingolstadt, Germany

Founder · Geschäftsführer

NeuralMedic GmbH

Production-grade data and AI platforms for the German Mittelstand. Healthcare-grade compliance (GDPR · MDR · ISO 27001) baked in by default. Senior-only delivery, fixed-scope engagements.

MLOpsdbtSnowflakeRAGHealthcare AI

2024 — present

Germany

Co-founder

NeuralTech Capital X UG

Holding and capital arm focused on long-horizon investments in technical infrastructure, healthcare-adjacent innovation, and applied AI ventures.

CapitalHoldingLong-term

Artificial Intelligence

Bavaria, Germany

Student

TH Ingolstadt

Computer science with a focus on AI systems, applied machine learning, graph methods, and the engineering side of production ML.

ResearchAITH Ingolstadt

Research

Peer-reviewed publications.

IEEE HPCC 2025

Conference publication · Pages 685–691

2025 IEEE International Conference on High Performance Computing and Communications · Exeter, United Kingdom

SimKit: Similarity Graphs, Eigendecomposition and Spectral Clustering in Neo4j

SimKit is a Java-based Neo4j plug-in for in-database spectral clustering. It supports similarity graph construction, Laplacian eigendecomposition, K-Means clustering, and evaluation with silhouette coefficient and Adjusted Rand Index — enabling end-to-end clustering workflows inside Neo4j.

Authors:: Rahul Mondal · Evelina Ignatova · Jonas Heinzmann · Minh Dung Do · Abhivanth Murali · Daniel Walke · Patrick Cato · Robert A. Becker · Thomas Bleistein · Gunter Saake · David Broneske · Robert Heyer
DOI:: 10.1109/HPCC67675.2025.00145

Contact

Let's talk.

Architecture reviews, project scope, research collaboration, or just a conversation about a problem you're looking at — pick the channel that fits.

JonasHeinzmann.