Max Hoffmann

Senior Ai Engineer @Juna Ai

Berlin, DE
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Sep 2025 — Present

Senior Ai Engineer @Juna Ai

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Berlin, DE

EDUCATION

2005 — 2010

Freie Universität Berlin

Master’s Degree, Physics w/ Computer Science orientation

2010 — 2014

Technical University of Munich

Ph.D., Computational Surface Physics and Chemistry

2009 — 2010

Fritz-Haber-Institut der Max-Planck-Gesellschaft

Diploma thesis, Physics

2008 — 2009

UC Santa Barbara

exchange year, Condensed Matter Physics, Quantum Many Body Physics

SKILLS

Mathematical ModelingHeterogeneous CatalysisScientific ComputingMaterials ScienceSoftware Project ManagementScalaLinux System AdministrationReactBashDjangoSimulationsSklearnNanotechnologyAlgorithmsGtkPhysicsSurface ChemistryFirst-Principles Kinetic Monte CarloPhysical ChemistryCatalysisJqueryFortranElasticsearchKinetic Monte CarloModel BuildingSqlLinuxData AnalysisSoftware Development (Version Control, Unit Testing, Continuous Integration)ChemistryAb-Initio (Dft) CalculationsMultiscale ModelingPythonLatexMonte Carlo SimulationNumpyScienceResearchKinetic Modeling

ABOUT MAX HOFFMANN

Pioneering data scientist and ML engineer specializing in safety verification for autonomous systems with extensive experience bridging fundamental research and industrial applications. I excel at developing explainable ML models and scenario-based evaluation frameworks that benchmark autonomous systems against human performance.At Apple\'s Special Projects Group, I led efforts to transform years of historical data into predictive models for critical testing scenarios, significantly improving safety validation processes. Previously at Stanford\'s SUNCAT Institute, I spearheaded the development of a groundbreaking research database platform that accelerated materials discovery through computational methods.Technical expertise includes: Python (10+ years), SQL, JavaScript, ML modeling, safety standards (ISO 26262, ISO 21448, ISO 34502), microservices architecture, and full-stack development (React, Node.js, Flask, PostgreSQL, Protobuf). My unique background in computational physics enables me to apply rigorous scientific methods to complex data challenges.Passionate about creating robust, explainable AI systems that operate safely in the real world while pushing the boundaries of what\'s possible through data-driven innovation.

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