
Jake is a data and AI engineer who focuses on delivering business value through data pipelines, Generative AI applications, and expertly designed front end interfaces. He specializes in medallion architecture, semantic layer design and agentic development. He has led and developed projects ranging from advanced Text2SQL applications to large-scale document classification and extraction to near real-time data pipeline and dashboard visualization.
Jake’s background includes data visualization, data engineering, and AI engineering across the media and entertainment, digital natives, healthcare, government, and academic sectors. Throughout his career, he has focused on understanding core business problems and how timely delivery of the right data can enable faster and more accurate decision making. Previously, Jake worked as a Tech Lead at Lovelytics, where he played a key role in expanding key accounts through relationship building and technical excellence.
Outside of work, Jake is an avid gardener and home cook. He enjoys skiing, mountain biking, backpacking, recreational volleyball, and hosting dinner parties.
BA, Physics with Astrophysics Emphasis, Colorado College