Data Governance for AI Systems
Data Governance for AI Systems: Insights from the Data Leaders Meetup
I presented my research on data governance for AI systems at the Data Leaders meetup.
I presented my research on data governance for AI systems at the Data Leaders meetup.
The EU AI Act is the world's first comprehensive AI regulation. This presentation breaks down its key provisions and what they mean for AI development in Europe.
MultiAI-Query is an open-source tool I built to interact with multiple AI language models simultaneously — OpenAI, Mistral, LLaMA, Groq, and Google Gemini — all from one prompt.
I presented my research on Data Version Control (DVC) at the Experts Meetup hosted by the Cloud Centre of Excellence at Vodafone Germany's Düsseldorf campus. The paper covers versioning strategies tailored for Data Science and ML projects, with a focus on reproducibility and collaborative workflows.
I built and manage this website myself, so understanding how search engines and AI models interact with my content matters. Cloudflare's new AI Audit tool addresses a real gap — it lets content creators see and control how AI bots access their work.
Five core AI/ML concepts explained in plain language — essential for anyone developing or working with Generative AI tools like ChatGPT, Gemini, etc.
Ever wished you could chat with your documents? I built RAGify — a tool that transforms static documents into an interactive Q&A system using Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs).
I built an AI-powered Movie Recommendation Bot that uses GPT-2 and MongoDB vector search to answer movie queries in natural language.
I turned PyGitGraph into a habit tracker — using GitHub Issues to log habits and GraphQL to extract the data for analysis.
With Germany hosting the UEFA Euro Championship, I built an interactive data visualization app to explore the tournament's history — match performances, tournament statistics, and penalty card data.