Ryan Gross
Head Of Anthropic Engineering at Caylent
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolRyan Gross is a seasoned technology leader with 15 years of experience building data-driven, cloud-native systems and leading teams to operationalize AI at scale. Currently Head of Anthropic Engineering at Caylent, he runs an internal startup bringing agentic AI to customers and shaping the next generation of software engineering with AI-native building blocks. His background spans hands-on architecture and delivery roles—from designing enterprise IoT and data lake platforms to leading Data & Applications and Data Practice functions—bridging strategy, execution, and people development. He favors simple, experimental beginnings that evolve into robust data platforms powering ML, and he emphasizes learning and mindset change so organizations retain capability beyond any single model. Trained in computer engineering and computer science at Notre Dame and UIUC, he pairs deep technical chops with consulting-level client impact across industries like healthcare, manufacturing, and insurance. A practical innovator, he has driven patent-pending work and large cross-functional programs while consistently turning complex problems into deployable, iterative solutions.
15 years of coding experience
10 years of employment as a software developer
Non-Degree, Medical Informatics, Non-Degree, Medical Informatics at Northwestern UniversityBS, Computer Engineering, BS, Computer Engineering at University of Notre DameMasters, Computer Science, Masters, Computer Science at University of Illinois Urbana-Champaign
Github Skills (32)
jarjar9
sbt9
sbt-plugin9
slack6
aws6
data-modeling6
aws-sdk5
dbt5
python5
lambda4
aws-lambda4
java4
scala4
analytics4
audio-device4
Programming languages (8)
Github contributions (5)
lukesandberg/PexFaultLocalization
Nov 2010 - Dec 2010
Contributions:48 commits in 1 month
ryano144/amazon-kinesis-client
Nov 2016 - Nov 2016
Contributions:2 pushes in 1 day
kinesisclient-libraryamazonamazon-kinesisaws
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