Fabian Crabus
Short project: Converting monocular images
Experience
Short project: Converting monocular images
- Converting monocular images into depth maps and point clouds as training data for Jetson and Zed stereo cameras
- Developing a drone detection system based on audio and video using Python
Short project: AI for analyzing police reports
- Analyzing police reports using LLMs and named entity recognition
- Comparing off-the-shelf open-source systems with fine-tuned models on an on-premise GPU cluster
Head of Development
Port Thessaloniki
- Evaluating, developing, and implementing IoT sensors for real-time measurements of geodata and environmental data
- Using Tile38 for dynamic geofencing solutions and analysis via Apache Superset
- Building a scalable microservices infrastructure with Java 17, Quarkus, REST APIs, and JPA
- Integrating external systems, implementing MQTT protocols, and developing ETL/mapping processes for integration with terminal operating systems
- Designing an AI architecture to predict container turnaround times based on utilization, container type, and weather using Python and PyTorch
Short project: RAG-supported LLM
- Developing a retrieval-augmented generation LLM with Ollama and Langchain4j for domain-specific queries
Short project: Prototype analysis of ship sensor data
- Analyzing ship sensor data (position, draft, speed) for early wear detection of ship propellers using RNN models
- Predictive maintenance for marine propulsion systems
Short project: AI models for audio data analysis
- Developed AI models to analyze audio data using CNNs on FFT and STFT data
- Investigated predictive maintenance for wear detection
Short project: AI training
- Conducted a training on AI usage in Industry 4.0
Head of Development (AI / Big Data / Geospatial Data)
Next Logistics Ventures GmbH (seabo.com)
- Developed scalable microservices with Quarkus, Javalin, Spring Boot and JBoss 7.4
- Optimized relational and NoSQL databases (PostgreSQL, MongoDB, DuckDB, Druid) with JPA/Hibernate/Panache
- Integrated external APIs and ETL processes via REST, GraphQL, AWS Lambda, Spark and Flink
- Built a robust Kafka infrastructure and used AWS services (S3, Kinesis, SNS, SQS, SageMaker, Lambda)
- Performed profiling, debugging and optimization to improve software efficiency
- Developed and trained AI models for text processing (Bi-LSTM, LLM), anomaly detection (Autoencoder), computer vision (YOLO, CNN, UNet), time series analysis (LSTM) and OCR tools (NER, LLM)
- Processed and analyzed large datasets (>50 GB/day) with Spark, Flink and Druid
- Developed and optimized ETL pipelines (NMEA AIS → Kafka → Flink → Parquet → Tile38 → AI model)
- Built geofencing toolchain, clustering analyses, data cleanup and downsampling methods as well as models for distance calculation and route optimization
- Visualized geospatial data with QGIS, Kepler, ArcGIS, deck.gl, Python and Spark
Product development
Meerkat.ai GmbH
- Developed a social media publishing platform to handle customer inquiries and complaints
- Assessed urgency using deep learning (RNN/LSTM)
- Developed a character-level GenAI chatbot
- Designed and implemented the entire software architecture
Head of Development
Viaboxx GmbH
- Built and led a 12-person development team in the parcel automation domain
- Conducted research projects on route optimization and cargo space monitoring
- Implemented international enterprise integrations in Dubai, Denmark and Norway (Camel, ServiceMix, SOAP, SAP JCO)
- Developed a work psychology-based assessment solution
- Designed and implemented the software architecture
Development Lead
agimatec GmbH
- Built and led a 6-person development team in the parcel automation domain with an international focus
- Used Java 6, J2EE, Elasticsearch, JBoss 5, JMS, EJB3, JPA, Hibernate, ActiveMQ
- Implemented ESB solutions (ServiceMix) and reporting (JasperReports)
- Used Scrum for agile development
Technical Lead
DHL
- Developed a platform for controlling parcel lockers
- Created and documented the architecture and implemented it using Java 4, J2EE, EJB 2, Spring, JMS, and SonicMQ
- Used rule engines (Drools), Oracle, and messaging solutions
- Conducted testing and documentation using the V-Model XT
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Transportation (21.5 years), Information Technology (11.5 years), Aerospace and Defense (0.5 years), and Government and Administration (0.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Information Technology (22 years), Product Development (15 years), Research and Development (8.5 years), and Business Intelligence (0.5 years).
Summary
Senior AI & Big Data architect with 15+ years of experience developing scalable systems for logistics, IoT, and geodata. Specialized in Java, Python, and cloud architectures. Successfully implemented AI/ML solutions with proven business impact (process optimization, predictive analytics, microservices).
Skills
- Ai/ml: Predictive Analytics, Computer Vision, Nlp, Llms, Rag, Vector Dbs, Digital Twins
- Big Data: Apache Spark, Flink, Kafka, Etl, Data Lakes, Superset
- Software Architecture: Microservices, Rest, Graphql, Api Design
- Cloud: Aws, Azure
- Geodata: Tile38, Gis Analysis, Qgis
- Iot: Sensor Integration, Mqtt, Edge Computing, Secure Communication
- Programming Languages: Java (17/21), Python, Javascript (React), Groovy
- Tools: Docker, Kubernetes, Git, Jira, Confluence
Languages
Certifications & licenses
Scrum Master
BEA Weblogic Developer
Profile
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