Lead DFKI-side execution for SmartCut, coordinating project partners while building Kedro pipelines for harvester-data harmonization and Earth Observation acquisition. Developed Apache Airflow DAGs for raw-data monitoring and automated pipeline execution for field operations.

Architected privacy auditing workflows for classification models and LLMs using membership inference and model inversion evaluations. Automated MLflow-based testing and reporting for healthcare AI compliance and supported domain-specific LLM fine-tuning and privacy evaluation.

Engineered multimodal crop-yield prediction systems across satellite, weather, soil, and geospatial features, reaching R² up to 0.83 at field resolution. Built scalable preprocessing, Dash dashboards, and MLflow/GitLab CI/CD/Docker workflows used with industry partners in Germany.

Built deep metric, contrastive, and self-supervised vision models for fine-grained classification, using PyTorch Lightning and Azure Databricks for scalable training.

Contributed to the SIDDATA digital assistant by supporting backend infrastructure and neural recommender integrations.

Implemented TensorFlow object detection models and Django applications for real-time tracking from surveillance feeds.

Developed distributed Java EE services in a telecom SOA environment and built Oracle BPM workflows deployed on Oracle WebLogic Server. Also implemented Spring Boot and Twilio automation for incident flagging to speed operational response.