This is my personal space to share my thoughts and ideas on AI, Data and Productivity
I am a driven 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, helping teams move from promising ideas to reliable systems that create measurable value.
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 one of the latest tech unicorns. 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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My journey from employee number six to CTO: the early excitement, the AI team I built, the culture we struggled to keep, and what growth, layoffs and equity taught me about building a company.
Read Full ArticleThe first post in a series about my first year as a startup CTO: why I chose to build again, why I brought a team I already trusted, what the job turned out to be, and the ground rules for the posts that follow.
What self-service BI, Notion, and recent research on generative interfaces reveal about helping people shape both their tools and their path through a task.