Summary
Brenton Mallen is a Machine Learning Engineer with a decade of experience applying signal processing, ML, and systems engineering to problems from sonar and maritime systems to satellite imagery for agriculture. He’s built production ML features at scale—designing serverless, in-warehouse, and microservice deployments for regulated enterprises like Capital One and privacy-first startups like Ethyca—and led teams building detection and forecasting systems. Brenton combines an ocean engineering research background with hands-on data engineering (Airflow, AWS, Snowpark) and model work (CNNs, super-resolution, anomaly detection) to turn noisy sensor data into operational insights. Now focused on satellite-driven agtech at K1X, he still draws on his sonar and AUV experience to think in terms of signals, geometry, and real-time constraints. Outside work he mentors on SharpestMinds and funds a surprisingly long list of hobbies, reflecting a practical curiosity that fuels creative technical solutions.
10 years of coding experience
14 years of employment as a software developer
Master's degree Ocean Engineering, Master's degree Ocean Engineering at Florida Atlantic University