R Expert in Düsseldorf

• Created data pipelines and visualization tools to support sustainable energy decision-making
• Developed insights that could optimize renewable energy deployment and grid integration strategies

• Led end-to-end delivery of ML/AI applications for the QuantistryLab simulation platform, from requirements definition and solution design to development, testing, deployment, and production support, coordinating efforts across back-end, DevOps, and ML teams
• Designed and implemented a compound search system with an open-weights LLM, the Pydantic AI agent framework, and the Model Context Protocol (MCP), exposing it through FastAPI endpoints
• Deployed and configured vLLM-based LLM serving on Kubernetes
• Built CI/CD pipelines and Helm charts to automate deployments across staging and production environments
• Instrumented the search system with OpenTelemetry spans and traces, integrating with the Honeycomb observability platform to monitor component-level latency and functional errors
• Developed a custom evaluation dataset and implemented evaluations for retrieval relevance, answer correctness, tool-call accuracy, and end-to-end task success
• Reduced infrared spectrum prediction time by 83% (from 60 to 10 minutes) by replacing a quantum-mechanical model with a pretrained graph neural network; fine-tuned the model using PyTorch, built and containerized the inference pipeline with Docker, and integrated it into the platform
• Implemented an MLflow model registry with MinIO-backed artifact storage
• Advised sales and science teams on ML/AI applications for prospective client projects, providing technical expertise to shape proposed solutions and prototypes

Technologies: AWS, Hetzner, Kubernetes, Helm, Docker, vLLM, Pydantic AI, MCP, Qwen, Llama 3, MLflow, MinIO, GitHub Actions, Python, FastAPI, OpenTelemetry, Honeycomb, PyTorch, Polars, pytest

• Development and maintenance of database-driven applications for managing supplier and food contracts, with extensive use of Oracle PL/SQL for complex business logic and data processing
• Optimization of PL/SQL procedures, functions, and triggers to ensure the performance and scalability of Oracle database solutions
• Ensuring compliance with best practices in PL/SQL development and implementing standards for code quality and data integrity
• Close collaboration with backend and frontend teams to ensure smooth integration between the Oracle database, C#-based APIs, and Azure cloud services

• Conduct data management and statistical analysis for clinical studies on behalf of CROs.
• Guest lecturer at Ivancity University, Paris, specializing in data anonymization techniques and statistical disclosure control.
• Provide scientific and medical writing services for pharmaceutical companies.
• Perform optical mapping data analysis and develop software tools with a focus on algorithm optimization and technical support.

• Harmonized multi-entity data models
• Unified, governed Power BI reporting
• Implemented Microsoft Fabric, Tableau, Excel, T-SQL, Teradata, R, Python and Qliksense

• Contributed to the Quality Management Department at Actio, a subsidiary of Altınay, by assigning external documents and regulations to departments and supporting preparations for ISO 9001 and IATF 16949 compliance
• Revised and improved the polyvalence table to track employee competencies, collected training requests, and aligned them with procedures
• Actively observed Pre-Delivery Inspection (PDI) processes and monitored the traceability of quality forms
• Supported the integration of newly calibrated measurement devices into workflows
• Proposed an SQL-based system to digitalize documentation and improve efficiency in traceability and audit readiness

• At Groupama: Developed multiple chatbots using Retrieval-Augmented Generation (RAG) to optimize internal processes and customer communication.
• At PwC: Set up an AI lab and developed various AI use cases.
• At La Poste: Analyzed and improved data quality in the data lake.
• At ARTE TV: Built a recommendation system using NLP for better content discovery.

• Developed an in-depth understanding of the business processes and data in the corporation
• Assisted in maintaining the corporate data

• Communication between B2B & B2C product platforms
• Stakeholder management
• Monitoring

• Managed the entire hiring process with a focus on data-driven decision-making.
• Analyzed recruiting data using Excel and ATS to optimize processes effectively.