Laura Chrobak is an MLOps Research Engineer with eight years of experience applying computer vision, machine learning, and cloud data pipelines to ocean robotics and autonomy. She has built and validated ML systems for autonomous surface and underwater vehicles, spanning research roles and senior engineering at X's Tidal program and now at MBARI. Her background in mechanical and naval architecture engineering from UC Berkeley and University of Michigan grounds her work in both physical systems and data-driven modeling. Laura combines hands-on model training and deployment with field-tested robotics experience from RobotX and WHOI programs, making her adept at turning prototypes into operational research platforms. She often bridges customer needs and technical delivery, creating value-added engineering products for aquaculture and ocean observation. An undercurrent of her profile is a sustained focus on coordinated ASV/AUV capture and visual-inertial odometry—skills that pair perception research with real-world maritime systems.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.), Mechanical Engineering, Ocean Engineering Concentration, Bachelor of Science (B.S.), Mechanical Engineering, Ocean Engineering Concentration at University of California, Berkeley
Master's Degree, Naval Architecture and Marine Engineering, Master's Degree, Naval Architecture and Marine Engineering at University of Michigan - Rackham Graduate School
High School, Duel Enrollment, High School, Duel Enrollment at University of Connecticut
Contributions:16 commits, 15 pushes, 1 branch in 2 days
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