I’m a Principal Engineer at Digital Science, building AI products and the systems behind them.
Core architecture & product engineering
AI research analytics for university leaders, with findings that can be traced back to their sources.
I started the underlying agent engine and helped develop the research interface with the team, working on reliable workflows, reports, and the path from a question to its evidence.
Interface engineering
Natural language search and topic exploration, built into Dimensions.
I built the Natural Language to Query widget and co-built Topic Refine, including its graph view and PDF export. The search flow lets people review and edit an AI-generated query before running it.
Initial build & full-stack engineering
A self-service starting point for developers using Digital Science APIs.
I built the first version across the interface, access management, documentation, and deployment. The portal has since grown under the team that took it forward.
If you’re building something interesting, working through a hard problem, or think we should work together, I’d like to hear from you.
daniel.ivanov@me.com