Jekabs Scipcinskis is a data engineer and full-stack developer whose work focuses on intelligence platforms, data systems, and research products. Through his portfolio, he presents projects that bring together public records, business information, and news to make complex connections easier to explore.

His current work includes Deep Dot, a paid research platform that builds canonical profiles of people and organisations from fragmented data. It offers interactive relationship graphs, event timelines, rankings, industry analytics, collections, and asynchronous profile exports. Deep Dot News is a public international news product that processes multilingual reporting into entity-linked, clustered stories. Subscribers can monitor entities, create custom feeds, and access Deep Dot Stories without limits.

Scipcinskis’s capabilities span data modeling, entity resolution, natural language processing, relationship graphs, APIs, product development, and distributed infrastructure. His portfolio also features technical writing on topics such as server management, networking, and game streaming. He welcomes inquiries and collaboration related to intelligence systems, data engineering, and product work, and shares his work through GitHub, LinkedIn, and X.