This is my personal space to share my thoughts and ideas on AI, Data and Productivity
I am an AI and Machine Learning leader focused on turning complex technology into useful products. As CTO of Mav9, I lead technology strategy across applied AI, data platforms, knowledge graphs, and product engineering.
My research background sits at the intersection of Knowledge Graphs, Semantic Web, Information Retrieval, and data quality. I hold a PhD in Semantic Web and Information Retrieval, and my publications explore Linked Data, recommender systems, dataset quality, and ways to make knowledge easier for both humans and machines to use.
Before Mav9, I was one of the founding engineers at Beamery, where I helped build and scale engineering, AI, and data science teams as the company grew into a tech unicorn. I use this space to write about AI, data, productivity, engineering practice, and the lessons learned from building intelligent products with real users and real constraints.
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I joined Beamery as employee six and stayed through growth, unicorn status and repeated layoffs. I built an AI team, learned how long the wait for a financial return could be, and still wanted to build again.
Read Full ArticleI became a startup CTO expecting to build a product and lead a team. I also found myself running payroll, submitting VAT returns and maintaining a dashboard nobody else opened. A year in, I want to write down what I am still figuring out.