Fabian C.
Short project: Converting monocular images
Experience
Apr 2025 - Sep 2025
6 monthsShort 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
Jan 2025 - Apr 2025
4 monthsShort 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
Jun 2024 - Jul 2025
1 year 2 monthsThessaloniki, Greece
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
Jun 2024 - Oct 2024
5 monthsShort project: RAG-supported LLM
- Developing a retrieval-augmented generation LLM with Ollama and Langchain4j for domain-specific queries
Mar 2023 - Oct 2023
8 monthsShort 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
Nov 2021 - Dec 2021
2 monthsShort 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
Oct 2019 - Oct 2019
1 monthShort project: AI training
- Conducted a training on AI usage in Industry 4.0
Nov 2016 - Jun 2024
7 years 8 monthsHamburg, Germany
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
Jun 2016 - Jul 2017
1 year 2 monthsProduct 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
Feb 2009 - Jun 2016
7 years 5 monthsHead 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
Jun 2006 - Feb 2009
2 years 9 monthsDevelopment 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
Jun 2003 - Mar 2006
2 years 10 monthsTechnical 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
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
German
NativeEnglish
AdvancedCertifications & licenses
Scrum Master
BEA Weblogic Developer
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