GNU Octave Expert in Germany

• Migration of customer data from a private cloud to AWS
• Optimizing data transformation jobs and migration from Talend to AWS Glue
• Automation of all migration steps
• Used technologies: AWS, Python, Lambda, CloudFormation, SQLServer, AWS Stepfunctions, Glue, PySpark

I implemented a Zero-Trust architecture for robust, military-grade maritime container mini data centers based on VMware & Tanzu to support containerized GIS workloads for ground forces. The main focus was on securing communications, workload protection, and data access in contested electronic battle environments affected by jamming, interception, signal manipulation, and constantly changing operational conditions. I designed and architected use cases so that every element of workload, identity, and system could continue to operate independently and securely even in degraded or disrupted scenarios. In parallel, I defined the enterprise and solution security architecture with LeanIX, Bizzdesign, and HOPEX as enterprise architecture, repository, and governance platforms to maintain architecture inventory, relationships, traceability, target pictures, and security governance in complex environments. For the architectural designs, I used Sparx Enterprise Architect to describe formal architecture views, interfaces, trust boundaries, and system architecture in both IT and OT environments. IriusRisk was used for threat modeling of the solution to identify architecture-driven risks, derive security requirements, and detect countermeasures and design gaps directly from the solution models. Risk and compliance management was supported with Archer. Architecture decisions, control gaps, and operational risks were translated into controlled governance and auditable compliance measures. For documentation, collaboration, and visual design, I used Confluence to maintain Architecture Decision Records, Security Blueprints, and workflows. I used Lucidchart and draw.io to create design artifacts tailored to stakeholders. I also defined OT security concepts with support from electrical and mechanical engineers in the areas of oil, vehicle onboard systems, rail, power plants, pharma, gas turbines, and nuclear technology. I created the end-to-end OT security strategy, starting with global policy, developed into standards and procedures, and finally aligned with Bell-LaPadula, Purdue Model, SABSA, TOGAF ADM, CENELEC 50701, IEC 62443, and NIST standards. In addition, I worked with engineering team leads to identify critical KBP assets and place them under protective measures that segmented SCADA, PLC, and HMI assets. I drove collaboration between Security, IT, and OT teams to create standardized workflows and use cases for the OT security solution catalog, while integrating Defense-in-Depth and Zero-Trust principles into operational environments. A key part of my work was integrating multidisciplinary engineering, security, and operations stakeholders into a unified security blueprinting strategy and ensuring that architecture, threat modeling, governance, and documentation were technically strong and operationally practical.

• Tech-Stack: Python, Qt, tensorflow.js, plotly, Angular, TypeScript, HTML, CSS, Git

• Contributed to development of an online simulation-based digital twin of bridge infrastructure project.
• Created packages implementing computational and statistical modules for the digital twin.
• Modeled the structure using FEniCSX within a Python environment.
• Integrated real sensor data with the virtual model via APIs.
• Used inference models to predict the future state of the bridge.

• AI vision development: Match external best practices with analysis of processes, interfaces, stakeholders, data flows, and output KPI, creating a long-term target picture of process automation and AI augmentation
• Curated employee training framework, e.g. for public service foundation: Basics of AI, generative AI applications, evaluation of human judgement and machine control in socially critical applications
• Implemented advanced upskilling courses specialized for product managers: Using AI in innovation, portfolio management, process automation, and marketing to promote novel products and services
• Multiple keynote speaker: AI-driven organizational transformation powered by cultural transformation and forward-looking leadership practices
• Ongoing exchange of expertise and experiences with personal network of leading AI strategists at multinational corporations, e.g., Siemens, Mercedes-Benz, BMW, McDonald’s, Adidas, Linde, Infineon, TÜV Süd, to collect business best practices
• Cooperation with expert leadership networks, e.g. TEC Leadership Institute and PM1 to strengthen impact through increased reach across organizations and industries

• Designed RF component matching networks, Wilkinson power dividers, embedded symmetric stripline transmission lines, and other RF components.
• Performed measurements and analysis to identify the main error source in a spherical scanner.
• Developed bow-tie antennas for ground-penetrating radar and tested them for interference in a rover.

• Applied pose estimation frameworks on thermal images using infrared cameras to enhance temperature analysis and thermal comfort evaluation.
• Performed CFD simulations to analyze and visualize airflow and temperature distribution in enclosed spaces, providing data-driven insights for improving HVAC system efficiency.
• Used transfer learning to adapt pre-trained deep learning models for different tasks and datasets, improving accuracy and reducing training time.
• Handled large datasets and applied visualization techniques such as boxplots, scatter plots, and other graphical tools to identify trends, detect anomalies, and validate data accuracy.
• Built machine learning predictive models such as linear regression, logistic regression, and classification models.
• Containerized ML models and data pipelines with Docker and orchestrated scalable training and inference workflows using Kubernetes.

• Produced reports and analyses based on the research findings
• Collaborated with the team to identify key areas of study and methodology
• Provided feedback and suggestions for improving code efficiency and security

• Contributed to over 20 successful projects

• Optimization of robots in warehouse logistics (Python)