OpenAI Experts in Cologne

Architected and maintained data products for renewable energy operations, covering wind turbine, grid-meter, and weather data. Built scalable ETL/ELT pipelines in Azure Databricks using Delta Lake (bronze/silver/gold layers) and processed data in various formats, including structured and semi-structured data. Contributed to a data quality framework supporting table and column documentation, outlier detection, and completeness metrics across all datasets within a data product. In addition, implemented a DORA KPI Databricks dashboard used across all data products. Optimized CI/CD processes in Azure DevOps to streamline deployment across development, test, and production environments.

Technology stack: Azure Databricks, PySpark, SQL, Delta Lake, Unity Catalog, Azure Data Lake, APIs, Dremio, Azure DevOps, YAML, Git, Databricks Workflows, Application Insights, Terraform, OpenAI API, Codex, LLM-assisted workflows

Project: Digitalization of Warehouse Processes | Building a Data Analytics Platform.

• Built a web-based workforce allocation system that digitized daily shift planning by matching worker expertise to operational zones, replacing manual coordination with a structured workflow adopted across the site, saving supervisors time on daily planning.
• Developed a real-time operational visibility dashboard giving supervisors a live view of task throughput and outstanding workload across warehouse zones throughout the day, helping reduce overtime and idle labour costs.
• Developed a slotting optimization solution to improve warehouse picking efficiency and reduce picking time per order, working directly with operations teams from concept through production deployment.

Technologies used: Python, Django, PostgreSQL, Pandas, NumPy, HTML, Java, JavaScript, Docker, Kubernetes, AWS, Power BI, GitHub Actions CI/CD, GitOps, Claude, OpenAI

PFS-Matching-App

• Integrated an intelligent LLM chatbot using LangChain4j, enabling conversational AI, context-aware question answering, document summarization, and autonomous tool execution.
• Implemented Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent workflows to connect large language models with enterprise data and backend services.
• Developed RESTful APIs and secure backend services to support AI-driven interactions and business processes

• Delivered ML pipelines for OCR, semantic search, and computer vision
• Integrated Azure AI Agents and GPT workflows for automation and QA
• Deployed cloud-based FastAPI services with scalable architecture
• Created integration docs and advised on LLM production readiness

• Build a sophisticated AI copilot to augment the students’ learning experience and provide AI-derived insights to professors.
• Build a multi-chain LLM system adapting to user needs at its own accord with a Weaviate vector DB based RAG system and evaluated it with Ragas.
• Build responsive react frontend, and backend systems handling auth, data management and auxiliary services as a RESTful API.
• Deployed and managed the app to the cloud in a production environment including the CICD via multi-stage deployment.

• Led a team of junior Research Engineers, providing mentorship, technical guidance, and career development support to foster their growth in deep learning and machine learning engineering.

• Develop powerful add-ons for customer service systems with innovative Zendesk apps designed to drive business growth, improve efficiency, and enhance customer satisfaction
• Implement full Zendesk solutions and provide hands-on support to bring customer service vision to life
• Combine customer service and technology expertise to address the complexities of delivering top-notch customer service
• Execute Zendesk implementations in 20+ countries and develop AI apps that automate replies
• Maintain a proven track record of success in advancing customer service capabilities

• Leads Nlevel as a strategic technology company creating a fail-safe, hyper-efficient, modular and software-defined energy routing standard for global energy distribution.
• Defines and drives the business model as the "ARM of energy," licensing a foundational patent and open standard under FRAND terms to an ecosystem of partners.
• Shapes market positioning and go-to-market strategy focused on winning the most demanding early markets and building a multi-trillion dollar foundation in the energy infrastructure space.
• Oversees fundraising strategy and planning, including a 24-month plan to market with a pre-seed funding ask of €38 million.
• Allocates planned use of funds with focus on team building, lab and hardware development, partnership and IP development, and operations/contingency.
• Sets goals to deliver a validated, serially producible core module and to launch the first pilot deployment.
• Brings strategic and operational experience from previous roles at VW, Siemens and Comcast, with expertise in scaling complex technology and building partner ecosystems.