I am an AI expert working at the intersection of technology, product development, and process automation. As Senior Data Strategist at Prophet Media Intelligence, I developed, advanced, and implemented LLM-based automation of core business processes into production.
In addition to AI-based process automation, a central focus of my work lies in prompt engineering and management, which I cover in its full scope:
- Development and optimization of prompts for various use cases (manually and automated via DSPy)
- Systematic evaluation of prompts
- Documentation and versioning
- Coordination with teams and clients
- Design and delivery of training sessions
In addition, I have developed systems that enhance LLM outputs through prompt pre- and post-processing (e.g., automated prompt injection methods and prompt chaining). I have also successfully implemented the automation of standardized reporting processes.
Beyond my current role, I have also explored retrieval-augmented generation (RAG) pipelines and developed chatbot prototypes that integrated text chunking, the OpenAI Embedding API, and Pinecone as a vector database.
I earned my PhD in Computational Social Sciences at the University of Oxford (with distinction). In my dissertation, I analyzed 40,000 media articles using Python and natural language processing methods; the work culminated in a monograph published by Palgrave Macmillan.