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I'm a AI Engineer at Faktion, specialized in Generative AI evaluation methodologies.
My work involves designing AI Soltuions, architecting LLM agents and implementing structured evaluation processes for AI Assistants.
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Let's Connect¶
I'm always excited to discuss AI evaluation methodologies, share insights about LLM implementation challenges, or explore potential collaborations. Whether you're looking to improve your AI systems or discuss the latest in generative AI evaluation, I'd love to connect.
Featured Work & Insights¶
I write extensively about LLM evaluation, enterprise AI adoption challenges, and practical methodologies for building reliable AI systems. Here are some key insights from my work:
Core Expertise¶
- LLM Evaluation Pipelines: Developing systematic approaches to measure and improve generative AI performance
- Evaluation-Driven Development: Creating methodologies that bridge the gap between automated metrics and user satisfaction
- Enterprise AI Adoption: Understanding why evaluation, not models, is often the limiting factor in AI deployment
Key Insights & Publications¶
Open Source Contributions¶
I'm also one of the creators of YAKE, a popular keyword extraction library with over 1.7k stars. YAKE! is a light-weight unsupervised automatic keyword extraction method that relies on text statistical features to select the most important keywords from single documents.
Academic Involvement¶
Reviewer in academic conferences and workshops:
- ECML PKDD 2025 - European Conference on Machine Learning
- International Workshop on Narrative Extraction from Texts (2018 - 2025)
- ECIR 2020 - European Conference on Information Retrieval
- International Workshop on User Interfaces for Spatial and Temporal Data Analysis (2019)