Madelyn Knipp

Madelyn is a senior engineering leader in big tech and a startup founder with a background in large-scale systems, applied machine learning, and geospatial data. She holds a degree in Computer Science from Colorado State University and has led engineering teams delivering production systems across developer platforms, GIS infrastructure, and AI-powered applications.

Her technical expertise spans edge inference, system optimization, and real-time data processing—especially in environments where power, bandwidth, and latency are tightly constrained. Earlier in her career, she worked on environmental water monitoring systems, gaining firsthand experience with field-deployed, low-power edge devices for data collection in rugged conditions.

At home, Madelyn is also a relentless tinkerer. She runs her own AI infrastructure, builds custom home automation and energy-monitoring tools, and experiments with local inference across a fleet of compute nodes. Her work blends practical engineering with a curiosity-driven mindset.

She brings deep systems thinking, architectural rigor, and founder-level velocity to the team. Madelyn and Justin share a maker ethos and a drive to translate ideas into working systems quickly and effectively. She’s excited to contribute alongside others on the team bringing deep expertise in hardware and computer vision.

Madelyn is drawn to this project by a long-standing interest in environmental ecosystems and the intersection of AI with real-world sensing. She believes that field-deployable intelligence like this can unlock better understanding, resilience, and protection of the natural world.

March 2025