Summary
Tyler Mcdonnell is a Senior Manager in Machine Learning with a decade of experience leading research-to-product efforts at startups and enterprise security software, currently heading ML at SailPoint from Austin. He blends deep learning and practical AutoML expertise with a strong publication record across IR, software engineering, and HCI, and has shepherded AutoML, NAS, and anomaly-detection initiatives in production. Tyler’s background in embedded and real-time distributed systems informs a pragmatic approach to building ML-infused products that scale to constrained and distributed environments. He holds advanced degrees (MS, PhD) in Computer Science from UT Austin and has a track record of turning novel research—such as surrogate-model optimization and neuroevolution—into pilot products. Notably, his early engineering work delivered a 10x improvement in wireless network scale for IoT lighting, revealing a mix of hands-on systems engineering and ML leadership.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science - BS, Electrical Engineering, Bachelor of Science - BS, Electrical Engineering at The University of Texas at Austin