As an AI & Machine Learning engineer and Data Scientist, I transform businesses with tailored artificial intelligence solutions. With expertise in machine learning, NLP, computer vision, and predictive analytics, I deliver practical, scalable AI solutions that prioritize explainability, ethics, and measurable business outcomes.
Whether you're launching new AI initiatives or enhancing existing solutions, I provide expert guidance through a business value-driven approach. From proof-of-concept development to implementation roadmapping and performance optimization, I ensure your AI investments yield tangible returns.
My expertise spans six critical domains that drive successful AI implementation: Data Science, Machine Learning, (Generative) AI, Team Leadership, Strategy and Execution for translating vision into actionable roadmaps and Training and Development for building AI literacy within your organization. This comprehensive skill set allows me to deliver end-to-end AI solutions that address both technical challenges and organizational needs.
There is currently lots of attention to vector databases with the advent of enterprise application of LLMs combined with RAG techniques. In many use cases, these vector databases are hidden behind frameworks like LangChain which abstract away document ingestion into the vector database and retrieval of relevant documents, making it unnecessary to directly interact with the vector databases themselves. I found it interesting to get a bit more of a deep dive into a vector database product to get a view of how to set up and work with them without working with a RAG use case again. Read More ›