Holger Arndt

CTO & Founder
Hardware → Embedded → Servers → AI

I build intelligent systems from scratch — and they run at scale.

As an electrical engineer and certified project manager (PMP), I develop full-stack solutions — from custom hardware and embedded firmware to web and mobile applications, powered by self-managed infrastructure and applied AI.

Get in touch

Expertise

CTO & Founder with 15+ years of experience leading teams and building intelligent systems — from hardware and embedded firmware to applied AI and self-managed bare metal infrastructure.

20+ years as a data scientist and software developer, delivering full-stack solutions for automotive, biomedical, and data-intensive industries.

Certified project manager (PMP) and expert in machine learning, technical leadership, and end-to-end system development.

Applied AI & Machine Learning

Building real-world AI systems for diagnostics, prediction, and automation.

  • Neural networks, deep learning, LLMs, random forest, SVM, logistic regression
  • Clustering: K-Means, DBSCAN, SOM, t-SNE
  • Graphical models: Bayesian networks, HMM, CRF
  • Fraud detection, churn analysis, risk modeling

Text & Data Mining

Extracting intelligence from unstructured and semi-structured data.

  • Named entity recognition, relation extraction, topic modeling
  • Sentiment analysis, social media monitoring, email analysis
  • Text2RDF, ontologies, semantic search (Lucene, Elasticsearch)
  • Winner, InnoCentive Challenge 2008 — biomedical data mining

Telematics & Embedded Systems

Designing and building intelligent systems from the ground up.

  • Custom PCBs, microcontroller firmware (C/C++)
  • OBD2 protocols: ISO15765-4 CAN, UDS, KWP2000, EOBD
  • Remote diagnostics over 2G/4G, GPS/GSM OBD2 devices
  • Fleet management systems handling 100K+ events/sec

Full-Stack Development & Infrastructure

End-to-end systems — from architecture to deployment on self-managed infrastructure.

  • Software architecture: designing maintainable, extensible systems across multiple languages and databases
  • Agile development (Scrum, Kanban), rapid method evaluation for complex challenges
  • Backend: Java, PHP, C#, .NET, REST
  • Frontend: HTML5, CSS3, JavaScript, Bootstrap, WPF
  • Self-managed bare metal infrastructure, Linux, AWS

Technical Leadership

PMP-certified leader in project and team management for complex technical projects.

  • CTO, technical coaching, and strategic consulting
  • Leading cross-functional teams (hardware, embedded, software)
  • Mediating between developers, management, and business stakeholders
  • Breaking down complex architectures into actionable, prioritized tasks under time pressure
  • Business intelligence strategy, cost estimation, ROI optimization


Projects

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DomainMetaData — The Database of Internet Domains

A large database containing 600M+ domain records with live updates on newly registered, active, and historical domains. Download comprehensive CSV files of top TLDs including .com, .net, and country-code domains for SEO analysis, cybersecurity threat detection, brand monitoring, and lead acquisition.

CleverUptime — Intelligent Server Monitoring

Instantly monitor any Linux server or VM. No manual configuration required. CleverUptime automatically detects hardware, software, services, and settings, delivering real-time oversight of performance, availability, and security from both within the system and over the public internet. Receive smart alerts, root cause insights, and practical diagnostics to quickly resolve problems and maintain consistent uptime.

Universal Java Matrix Package — High-Performance Matrix Library for Java

UJMP is an open-source library for dense and sparse matrix computations in Java. It supports linear algebra, decompositions, statistics, and multi-threaded processing for large-scale data. Handles terabyte-sized matrices on disk, with visualization, import/export for CSV, Excel, MATLAB, PDF, and more—ideal for machine learning and data-intensive applications.

Java Data Mining Package — Java Machine Learning and Big Data Analytics

JDMP is an open-source library for data analysis and machine learning in Java. It integrates algorithms for clustering, classification, regression, and optimization, with built-in visualization and support for large-scale datasets. Seamlessly connects to tools like Weka, LibSVM, and Elasticsearch, and handles diverse data formats—including CSV, Excel, PDF, and images. Designed for performance and flexibility in big data and machine learning workflows.


Publications

Jul 2010 Semi-Automatic Assignment of Work Items Full Paper
Jonas Helming, Holger Arndt, Zardosht Hodaie, Maximilian Koegel, Nitesh Narayan
5th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE) , Athens, Greece
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Jun 2010 Universal Java Matrix Package Workshop Abstract and Poster
Holger Arndt
Workshop on Machine Learning Open Source Software, 27th International Conference on Machine Learning (ICML) , Haifa, Israel
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May 2010 From Informal Project Management Artifacts to Formal System Models Workshop Paper
Jonas Helming, Nitesh Narayan, Holger Arndt, Maximilian Koegel, Walid Maleej
Flexitools Workshop, International Conference for Software Engineering (ICSE) , Capetown, South Africa
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Jul 2009 Towards a Next-Generation Matrix Library for Java Full Paper
Holger Arndt, Markus Bundschus, Andreas Nägele
33rd Annual IEEE International Computer Software and Applications Conference (COMPSAC) , Seattle, USA
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Jul 2009 The Java Data Mining Package – A Data Processing Library for Java Abstract and Poster
Holger Arndt
33rd Annual IEEE International Computer Software and Applications Conference (COMPSAC) , Seattle, USA
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Jun 2008 Large-Scale Genetic Network Learning Full Paper
Andreas Nägele, Holger Arndt, Mathäus Dejori
18th European Conference on Artificial Intelligence (ECAI)
Jul 2006 Developing Gestural Input Workshop Paper
Matthias Kranz, Stefan Freund, Paul Holleis, Albrecht Schmidt, Holger Arndt
6th International Workshop on Smart Appliances and Wearable Computing (IWSAWC)
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May 2003 Parallelimplementierung von rekurrenten selbstorganisierenden Karten Diplomarbeit
Holger Arndt
Lehrstuhl für Kommunikationsnetze , Technische Universität München
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Get in Touch

I'm open to technical collaborations and partnerships in AI, intelligent vehicles, and scalable systems.

Whether you're building a data-intensive product, pushing the edge of vehicle intelligence, or need deep technical leadership — let's connect.

I respond quickly to emails that include a clear subject and context: mail @ holger - arndt . com