Freelancer profile translated to English.
Back to original languageAbout Fabian
Fabian Crabus is an experienced software architect and AI developer with over 20 years of experience in Java, Big Data, Artificial Intelligence (AI), Machine Learning (ML), Geographic Information Systems (GIS), and IoT. With strong technical expertise and over 15 years of project management experience, he has developed innovative solutions for international companies and research projects.
He possesses in-depth knowledge of microservices architectures (Java, Quarkus, Spring Boot), data management (PostgreSQL, MongoDB, DuckDB), Big Data (Apache Spark, Flink, Kafka, Druid), and AI and Machine Learning technologies (DeepLearning4j, Pytorch, YOLO, LSTM) for LLM, Computer Vision, Audio Classification, NLP. His expertise also includes the development and optimization of IoT solutions, geofencing technologies, and cloud environments (AWS, Digital Ocean).
In leadership roles, he has repeatedly built technical architectures, led teams, and made strategic decisions, including at ThPA Thessaloniki, Next Logistics Ventures GmbH (seabo.com), Viaboxx GmbH (Founder), and DHL. His focus is on developing innovative platforms, optimizing logistics processes, and digitizing business models.
With an agile working method (Scrum), broad technological competence, and international experience, he is a valued expert for complex software solutions and digital transformations.
Linguistically, he is fluent in German and English and has in-depth knowledge of project management (Scrum, Kanban), security technologies (JWT, OAuth), CI/CD, Docker, and Kubernetes.
German
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- ThPA ThessalonikiHead of DevelopmentLOGISTICS AND SUPPLY CHAINJune 2024 - July 2025 (1 year and 1 month)Thessaloniki, GreeceProject leadership and international collaboration• Responsibility for the development of an innovative platform for monitoring and controlling container movements within ports.• Active participation in an international research project focused on the digitalization and optimization of port logistics processes.• Management of the technical architecture and close collaboration with international partners and stakeholders.Software Development and Technical Implementation• IoT Integration: Development and implementation of IoT solutions for real-time monitoring of container movements.• Geofencing Technologies: Use of Tile38 for creating dynamic geofencing solutions for locating and controlling containers.• Microservices Architecture: Building a scalable microservices infrastructure with Java and Quarkus, including REST APIs and JPA for data management.• Interface Integration: Connecting external systems and implementing MQTT protocols for efficient data communication. Data Management and Security• Management and optimization of databases (PostgreSQL) to ensure high data consistency and availability.• Implementation of security solutions such as JWT for authentication and authorization.- Creation of an AI-based architecture for predicting transit times
- DiversShort ProjectsJanuary 2018 - Today (8 years and 7 months)- 2025: In-house development: Computer Vision for drone detection in space (depth images, point clouds, Depth Anything)- 2025: In-house development – AI for analyzing police reports using LLMs and Named Entity Recognition. Comparison of performance between off-the-shelf open-source systems and fine-grained models (operation on on-premise GPU cluster)- 2024: In-house development – RAG-supported LLM (Ollama) for domain-specific queries (Langchain4j)- 2023: Manufacturer of ship propulsion systems – Prototype analysis of ship parameters (position, draft, speed, proximity to coast, maritime specificities, maintenance cycles) for early wear detection of ship propellers (AI/ML model RNN) aka Predictive Maintenance.- 2022: In-house development – Autonomous driving robot with Lidar environment recognition based on Nvidia Jetson and Zed 2 (ROS/Java/Python)- 2021: Consumer goods industry – Creation of AI models for audio data analysis. Question: can FFT/STFT data from Convolutional Networks (CNN) be used for wear detection/predictive maintenance?- 2019: Industry – Training “State of AI – Use in Industry 4.0”
- Next Logistics Ventures GmbHHead of Java Development (AI / Big Data / Geodata)LOGISTICS AND SUPPLY CHAINNovember 2016 - December 2024 (8 years and 1 month)Hamburg, GermanyHead of Java Development (AI / Big Data / Geodata)• Project Leadership and Strategic Responsibility• Establishment of an innovative startup in the field of maritime logistics and development of a market-leading chartering platform.• Technical consulting and conception of the overall architecture in close collaboration with clients and stakeholders.• Conducting lectures, presentations, and text creation for marketing and promotional videos.• Budget monitoring and control, as well as ensuring efficient resource utilization.• Software Development and Technical Implementation• Microservices Architecture: Development of scalable microservices with modern frameworks such as Quarkus, Javalin, and Spring Boot.• Databases and Persistence: Use and optimization of relational and NoSQL databases (PostgreSQL, MongoDB, DuckDB) using JPA/Hibernate/Panache.• Interface Integration: Connecting external APIs and data sources via REST, GraphQL, and ETL processes.• Communication Backbone: Building a robust Kafka infrastructure to support high-frequency data flows.• Performance Optimization: Conducting profiling, debugging, and optimization measures to increase software efficiency.• Creation of comprehensive documentation and tests for quality assurance.
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Certifications
- ScrumMasterScrum Alliance2006