Tobias Oberrauch
Python Developer
Experience
Python Developer
BundesMessenger
Implementing new features in the admin backend
Automated tests (unit, E2E)
Architecture coordination with external partners
Features: user management, room control, release automation.
AI Solution Architect
Development of a secure, generative AI platform for clients with demanding data and process requirements
Fine-tuning and deployment of Mistral/GPT architectures
Building vector databases, LangChain/RAG integration
Using LangFuse, Ollama, PyTorch, Entra ID for governance
Technologies: React, FastAPI, Kubernetes, GitHub Actions, Azure, LangChain
Outcome: Productive, scalable LLM infrastructure integrated with SharePoint, Active Directory & company data rooms.
Data Engineer & ML Architect
Encavis
Migration of historical production and demand data to a scalable forecasting platform for load and resource planning
Data architecture and forecasting logic with PySpark and Azure Synapse
Development of a forecasting pipeline for input volumes
CI/CD automation and go-live support
Technologies: Azure Synapse, Terraform, FastAPI, Data Factory, MLOps
Outcome: Real-time planning and forecasting based on energy data, improved resource management.
Data Engineer
Wolters Kluwer
Development of a new Synapse data platform for improved customer analysis and offer management
Architecture design and implementation with PySpark, Synapse & Power BI
Conducting internal training sessions.
Machine Learning Engineer & AI Architect
Porsche
Implementation of the five levels of autonomous manufacturing at Porsche – from basic monitoring to real-time optimization
Building AI-powered quality and production forecasts (Level 2–5)
Multi-sensor integration, machine learning models with AWS Lambda & SageMaker
Real-time analysis and process adjustment in the production line
Technologies: PyTorch, AWS Lambda, CDK, React, MLOps, Kubernetes
Outcome: Optimized utilization, more accurate planning, early warning system for bottlenecks.
DevOps Engineer
Daimler
Development of a microservices infrastructure to connect electric charging stations in a greenfield project
Establishment of scalable CI/CD pipelines with Docker, Kubernetes and Azure DevOps for production-like applications.
Cloud Engineer
Bosch
Planning and implementing the migration of a CMS to a highly available Azure infrastructure
Focus on disaster recovery, performance optimization and security design
Use of SQL Server, Key Vault and Terraform.
Technical Lead
Simplicity
Building and operating a Kubernetes-based data platform in an agile team environment
Responsible for process design, coaching and structured data flows for continuous optimization of internal services.
Fullstack Developer
1&1
Development of core modules for the 1&1 MyWebsite
Focus on introducing automated tests.
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Information Technology (6 years), Telecommunication (3 years), Automotive (2.5 years), and Energy (0.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Information Technology (10 years), Quality Assurance (6.5 years), Business Intelligence (3 years), Product Development (2.5 years), Operations (2.5 years), and Production (2 years).
Summary
“I'm the right person if you're not after another AI experiment but a solution you can actually use in production”
What you're planning, I've already done…
You're looking for an experienced professional for conceptual consulting on using artificial intelligence (AI) in forecast-based production and workforce planning. The goal is a practical approach to predict customer orders, enabling data-based operational actions like vacation planning and capacity control.
Your requirement – My experience:
Years of leading AI projects – e.g., building AI consulting for large clients in regulated industries, developing custom RAG architectures.
At Porsche: 5 levels of autonomous manufacturing, predictive models in production processes, predictive maintenance solutions.
Developed order volume forecasts at Encavis, production utilization forecasts, time series analysis with LSTM, Prophet, XGBoost.
Project work with production data, ERP integration, SCM and operational planning; KPI-driven optimization at Porsche, Encavis, Wolters Kluwer.
Presentations at insurance groups, reinsurers, and automakers; led workshops and strategic briefings with C-level.
End-to-end development and concept (Use Case → Architecture → Implementation) in projects like BundesMessenger, Azure Synapse migrations, and ChatGPT alternatives.
Languages
Profile
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