Paul is a seasoned AI engineer and strategic consultant with 8 years of experience in the field. He specializes in helping organizations leverage artificial intelligence to drive innovation. With extensive experience in GenAI, strategy consulting and cloud-based solutions, he has guided projects across multiple industries and company scales. Paul has led numerous initiatives ranging from Computer Vision research to scaling machine learning applications for enterprise use. His project portfolio includes developing voice assistants, complex agentic systems, autonomous drones, and predictive maintenance systems. Previously, Paul served as the CEO and Head of AI at Tensora GmbH, further refining his strategic consulting skills. By combining deep technical expertise with business acumen, he enables organizations to effectively implement AI strategies and achieve transformative results.
Experience
- Strategy consulting on GenAI, data & cloud related matters
- Concept & implementation of state-of-the-art AI solutions
- Clients ranging from startups to DAX40 and S&P100 companies
- Built a lean company focused on AI products and consulting expertise
- Strategy consulting on AI, data & cloud related matters
- Concept & implementation of state-of-the-art AI solutions
- IT Consultant for data, AI, NLP, and computer vision
- Led project teams with up to 5 people
- Developed proprietary suite of AI services and products
- Strategy Consultant with focus on AI
- Helped customers to use AI effectively
- Implemented test automation for data quality assurance
- Development of applications for our in-house ERP system
- Automation of workflows using Excel macros
- UX and UI redesign of customer quotation documents
Projects
Collaborating with the CPO of an international freelancer platform to design and implement AI solutions that streamline and accelerate recruitment processes.
- Technologies: Python, OpenAI, FastAPI, Voice Agents, Agentic RAG
Collaborating with the CTO of a major U.S. corporation to develop AI prototypes and applications for various subsidiaries, focusing on rapid prototyping and tailored AI solutions for diverse business needs.
- Technologies: Python, OpenAI, GPT, FastAPI, Cognitive Search, Vector Stores, Voice Agents, Agentic RAG
Developed a comprehensive suite of AI tools for the recruitment industry, including intelligent talent matching, automated screening, and LLM-powered candidate evaluation systems.
- Technologies: Python, Azure, OpenAI, GPT, AI Search, Chatbots, Vector Store
Developed an AI solution for accurate crowd counting in high-density settings for clients in professional sports and music festival industries, with cloud-based deployment and real-time analytics.
- Technologies: Python, PyTorch, Computer Vision, CNNs, High-Density Object Detection, CCTV Integration
Built an automated GPT agent with multi-source data access (databases and web) to solve complex customer financial queries through intelligent information synthesis.
- Technologies: Python, OpenAI, GPT, Langchain, SQL, Vector Store, Agents
Developed a cognitive search engine leveraging OpenAI GPT, combining vector stores and keyword search to provide intelligent answers about internal company documents.
- Technologies: Python, LLM, GPT, Langchain, Cognitive Search, Vector Store
Created a Computer Vision framework and service enabling automated visual quality control on manufacturing shop floors with real-time defect detection.
- Technologies: Python, MLFlow, PyTorch, Azure ML, Azure Functions, Object Detection, DevOps, CI/CD, Git
Developed a global, AI-Act-compliant MLOps platform using AzureML and Databricks for scalable ML model deployment and governance.
- Technologies: Python, Databricks, MLFlow, Azure ML, CosmosDB, APIM, Flask, Azure DevOps, Kubernetes, CI/CD, Git
Built an intelligent chatbot using OpenAI API that automatically transcribes interviews and generates comprehensive candidate evaluation reports.
- Technologies: Python, Azure OpenAI API, ChatGPT, LLMs, Langchain, Question Answering, Speech-to-Text
Created a no-code data exploration and data cleaning platform that accelerates the work of Data Analysts and Data Scientists
- Technologies: Python, FastAPI, Polars, Pandas, Azure Functions, Azure Static Web Apps, CosmosDB, JavaScript, Svelte, SvelteKit, Unovis
Designed and built a modern machine learning architecture for an offering of different AI services in the Azure cloud.
- Technologies: Python, Azure ML, Azure Functions, CosmosDB, Blob Storage, FastAPI, Databricks, MLFlow, CI/CD, Git
Analyzed large amounts of customer data, built dashboards and predicted customer value & customer churn over time.
- Technologies: Python, scikit-learn, lifetimes, AWS, Redshift, dbt, Tableau
Data Science lead in a team of 4 to build a prototype web app that predicts potential flight delay and customer impact.
- Technologies: Python, Monte Carlo simulation, AWS Lambda, DynamoDB
Built an AI recommender system that bridges the gap between supply and demand in the food industry.
- Technologies: Python, node2vec, collaborative filtering, CI/CD, Git
Project lead for building an early warning system for manufacturing machines based on time-series models
- Technologies: Python, statsmodels, Pandas, scikit-learn
Built a Time-Series-Forecast platform that retrains different models on a regular basis and serves the best model at scale.
- Technologies: Python, Prophet, statsmodels, ARIMA, MLflow, Hyperopt
Project lead of 3 for a COVID-19 computer vision solution to count people in public places and measure their distance
- Technologies: Python, PyTorch, OpenCV, FastAPI, CI/CD, Git, AWS
Built the Computer Vision part of an autonomous drone that detects and classifies damages in high resolutions images.
- Technologies: Python, TensorFlow, OpenCV, Image Segmentation, Azure Functions, Blob Storage, CosmosDB