Fabian C.-GIS & AI Architect – Computer Vision and Geospatial Data
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Experience
Senior GIS Developer
Transport & Logistics
Development of a route planner for incident communication.
- Development of the REST API
- Set up a patch system for maintaining the routing graph
- Expansion of the testing infrastructure
- Performance and memory optimization (JMeter, JFR)
Technologies: Java 21, Spring Boot, JGraphT, Flyway, MapStruct, Caffeine, ShedLock, JMeter, Kubernetes, JFR
Computer Vision Engineer
Internet & Information Technology
GPS-independent positioning of drones based on geocoded land-use data: building a pipeline from the segmentation of satellite and drone images through vectorization as 3D GeoJSON to polygon matching against a reference image.
- Object Segmentation of SAR data: detection of vegetation, buildings, and trenches
- Object Segmentation of EO drone data
- Conversion of segmentation results into 3D GeoJSON polygons
- Comparison of the current polygons with the reference image to determine the location
Technologies: U-Net, DINOv3, PyTorch
Short Project: Conversion of Monocular Images
- Conversion of monocular images into depth images and point clouds as training data for Jetson and Zed stereo cameras
- Development of an audio- and video-based drone detection system with Python
Short Project: AI for Analyzing Police Reports
- Analysis of police reports using LLMs and Named Entity Recognition
- Comparison of off-the-shelf open-source systems with fine-tuned models on an on-premise GPU cluster
Head of Development
Port Thessaloniki
To better predict container turnaround times in the port, measurement data (geospatial and environmental data) is collected in real time using IoT sensors. Among other things, the data feeds an AI-based time series model to provide logistics operators with more accurate loading times.
- Technical leadership of the development team and architecture of the overall platform
- Real-time processing of geospatial and sensor data (Tile38, MQTT, Spark, Flink)
- AI model for time series prediction of container turnaround times (PyTorch, scikit-learn, DJL)
- Evaluation of edge/cloud approaches (AWS Greengrass, Azure IoT)
Technologies: Java 17/21, Quarkus (JPA, REST, Panache), Python, PyTorch, scikit-learn, DJL, Tile38, MQTT, PostgreSQL, GeoParquet, Spark, Flink, Superset, React, Ant Design, deck.gl, NodeJS, Docker, Kubernetes, OpenAPI, WebSockets, EDI, JUnit, Postman, nginx
Cloud: Azure Kubernetes Service, Azure AI, Azure ML
Environment: Scrum, Jira, Confluence, Bitbucket, Requirements Engineering
Short Project: RAG-Supported LLM
- In-house development of a Retrieval-Augmented Generation LLM with Ollama and Langchain4j for domain-specific queries
Short Project: Prototype Analysis of Ship Sensor Data
- Analysis of ship sensor data (position, draft, speed) for early detection of ship propeller wear using RNN models
- Predictive maintenance for maritime propulsion systems
Short Project: AI Models for Audio Data Analysis
- Development of AI models for audio data analysis using CNNs on FFT and STFT data
- Investigation of predictive maintenance for wear detection
Short Project: AI Training
- Conducted training on the use of AI in Industry 4.0
Head of Development (AI / Big Data / Geospatial Data)
Next Logistics Ventures GmbH (seabo.com)
“The Bloomberg Terminal for Shipping”: Built a startup to digitize commercial shipping. The platform links sensor data with a wide range of other data sources and gives shipowners and brokers deep insights into container and bulk shipping for better chartering deals.
Development of scalable microservices with Quarkus, Javalin, Spring Boot, and JBoss 7.4
Optimization of relational and NoSQL databases (PostgreSQL, MongoDB, DuckDB, Druid) using JPA/Hibernate/Panache
Integration of external APIs and ETL processes via REST, GraphQL, AWS Lambda, Spark, and Flink
Setup of a robust Kafka infrastructure and use of AWS services (S3, Kinesis, SNS, SQS, SageMaker, Lambda)
Profiling, debugging, and optimization to improve software efficiency
Development and training of AI models for text processing (Bi-LSTM, LLM), anomaly detection (autoencoders), computer vision (YOLO, CNN, UNet), time series analysis (LSTM), and OCR tools (NER, LLM)
Processing and analysis of large volumes of data (>50 GB/day) with Spark, Flink, and Druid
Development and optimization of ETL pipelines (NMEA AIS → Kafka → Flink → Parquet → Tile38 → AI model)
Development of geofencing toolchains, clustering analyses, data cleanup and downsampling methods, as well as models for distance calculation and route optimization
Visualization of geospatial data with QGIS, Kepler, ArcGIS, deck.gl, Python, and Spark
Technologies: Java 17 (Quarkus, Javalin, Spring Boot), Python, PyTorch, TensorFlow, Deeplearning4j, Langchain4j, Hugging Face Transformers, spaCy, OpenCV, CVAT, Tesseract, Kafka, Spark, Flink, Druid, Superset, PostgreSQL/PostGIS, MongoDB, DuckDB, Elasticsearch, GeoParquet, Avro, GraphQL, React, Ant Design, deck.gl, Plotly, D3, JTS, GeoTools, Spatial4j, Apache SIS, RasterIO, GeoPandas, Shapely, Pandas
Cloud: AWS (EC2, S3, Kafka MSK, Kinesis, SNS, SES, SQS), DigitalOcean, Imply Polaris, Jupyter
Environment: Requirements engineering, UML, C4, JUnit, JMeter, JProfiler, QGIS, ArcGIS, CI/CD, Jenkins, Docker, Kubernetes
Product Development
Meerkat.ai GmbH
- Development of a social media publishing platform for handling customer inquiries and complaints
- Assessment of urgency using deep learning (RNN/LSTM)
- Development of a character-level GenAI chatbot
- Design and implementation of the entire software architecture
Head of Development
Viaboxx GmbH
- Built and led a 12-person development team in the parcel automation sector
- Research projects on route optimization and cargo space monitoring
- International enterprise integration in Dubai, Denmark, and Norway (Camel, ServiceMix, SOAP, SAP JCO)
- Development of a work psychology assessment solution
- Design and implementation of the software architecture
Head of Development
agimatec GmbH
- Built and led a 6-person development team in the internationally oriented parcel automation sector
- Use of Java 6, J2EE, Elasticsearch, JBoss 5, JMS, EJB3, JPA, Hibernate, and ActiveMQ
- Implementation of ESB solutions (ServiceMix) and reporting (JasperReports)
- Use of Scrum for agile development
Technical Lead
DHL
- Development of a platform for controlling parcel lockers
- Design and documentation of the architecture, as well as implementation with Java 4, J2EE, EJB 2, Spring, JMS, and SonicMQ
- Use of rule engines (Drools), Oracle, and messaging solutions
- Testing and documentation according to the V-Model XT
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Transportation, Information Technology, Aerospace and Defense, and Government and Administration.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Product Development, Research and Development, Logistics, Operations, and Business Intelligence.
Summary
Geospatial systems and computer vision architect with over 15 years of experience in logistics, IoT, and geoinformatics. My focus: AI models that work with spatial data – from the segmentation of SAR and EO data (U-Net, DINOv3) and real-time geospatial data processing (Tile38, PostGIS, GeoParquet) to production-ready cloud architecture (AWS, Azure).
Skills
- Computer Vision & Ai: Object Segmentation (U-Net, Dinov3), Sar/Eo Data Analysis, Opencv, Cvat, Tesseract, Pytorch, Tensorflow, Deeplearning4j, Djl, Hugging Face Transformers, Llms (Langchain4j), Nlp (Spacy), Predictive Analytics, Time Series Analysis
- Geospatial Data & Gis: Postgis, Tile38, Geoparquet, Geojson, Jts, Geotools, Spatial4j, Apache Sis, Rasterio, Geopandas, Shapely, Deck.Gl, Qgis, Arcgis, Routing Graphs (Jgrapht)
- Programming Languages: Java 17/21 (Quarkus, Spring Boot, JavalíN), Python (Pandas, Scikit-Learn), Javascript (React, Nodejs)
- Software Architecture: Microservices, Rest, Graphql, Api Design, C4, Uml, Requirements Engineering
- Big Data & Streaming: Apache Spark, Flink, Kafka, Druid, Duckdb, Elasticsearch, Etl, Data Lakes, Superset
- Cloud & Devops: Aws (Ec2, S3, Kafka Msk, Kinesis, Sqs/Sns), Azure (Aks, Azure Ai, Azure Ml), Docker, Kubernetes, Ci/Cd (Jenkins, Gitlab), Maven
- Iot: Mqtt, Sensor Integration, Edge Computing (Aws Greengrass, Azure Iot), Edi
- Methods & Leadership: Scrum (Certified Scrum Master), Technical Leadership Of Teams Of Up To 12 People, Jira, Confluence
Languages
Certifications & licenses
BEA Weblogic Developer
Scrum Alliance
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Fabian is based in Kalkar, Germany and prefers 100% remote projects.
Fabian speaks the following languages: German (Native), English (Advanced).
Fabian has at least 23 years of experience. During this time, Fabian has worked in at least 12 different roles and for 8 different companies. The average length of individual experience is 2 years and 8 months. Note that Fabian may not have shared all experience and actually has more experience.
Based on recent experience, Fabian would be well-suited for roles such as: Senior GIS Developer, Computer Vision Engineer, Short Project: Conversion of Monocular Images.
Fabian's most recent position is Senior GIS Developer at Transport & Logistics.
In recent years, Fabian has worked for Transport & Logistics, Internet & Information Technology, Port Thessaloniki, and Next Logistics Ventures GmbH (seabo.com).
Fabian is most experienced in industries like Transportation, Information Technology, and Aerospace and Defense. Fabian also has some experience in Government and Administration and Manufacturing.
Fabian is most experienced in business areas like Information Technology, Product Development, and Research and Development. Fabian also has some experience in Logistics, Operations, and Business Intelligence.
Fabian has recently worked in industries like Transportation, Information Technology, and Aerospace and Defense.
Fabian has recently worked in business areas like Information Technology, Product Development, and Research and Development.
Fabian has 2 certificates. These include: BEA Weblogic Developer and Certified ScrumMaster.
Fabian will be available full-time from October 2026.
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Calculated based on our freelancers’ daily rates as of 27 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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