Bryan Robbins
Global Director For Data And AI Innovation
Huntsville, Alabama, United States
Summary
👤
Senior🎓
Top SchoolBryan Robbins, Ph.D., is a seasoned technology leader with 12 years of experience building and governing SaaS products and platforms, now serving as Global Director for Data and AI Innovation at Siemens Digital Industries Software. He blends hands-on backend development skills—evident from contributions to Java-based data tooling like FINRAOS/DataGenerator—with strategic leadership across product, operations, and governance. His academic background in empirical software engineering and cognitive psychology informs a measured, evidence-driven approach to product development and team decision-making. Based in Huntsville, Bryan is skilled at translating complex technical dependencies into reliable data pipelines and scalable services while stewarding cross-functional adoption of AI and data practices. Colleagues describe him as a breadth-first generalist who moves fluidly between low-level engineering, container/tooling concerns, and high-level business strategy.
12 years of coding experience
17 years of employment as a software developer
Ph.D. Computer Science, Ph.D. Computer Science at University of MarylandM.S. Computer Science, M.S. Computer Science at Mississippi State University
Stackoverflow
41reputation
3kreached
3answers
2questions
Github Skills (11)
data-generation10
javas10
java10
data-pipelines9
data-pipeline9
sql-server6
amazon-web-services6
grails6
datasource6
rest6
integration-testing6
Programming languages (5)
Github contributions (5)
FINRAOS/DataGenerator
Nov 2013 - Jan 2016
DataGenerator is a Java library for systematically producing large volumes of data. DataGenerator frames data production as a modeling problem, with a user providing a model of dependencies among variables and the library traversing the model to produce relevant data sets.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:69 commits, 11 PRs, 6 pushes in 2 years 3 months
Contributions summary:Bryan's commits primarily involve refactoring and implementing features within a Java-based data generation library. The user added a `DataGeneratorExecutor` class for executing SCXML state machines, incorporating Apache Commons SCXML for state management. Further contributions included refactoring code into packages and updating dependencies, specifically related to Hadoop. The user also updated the DataConsumer API to use ConsumerResult objects, indicating a focus on the core data processing and output mechanisms.
data-framesdependenciesdata-setsvolumesjava-library
bryantrobbins/baseball
Jan 2016 - Oct 2018
An upcoming web-based tool for sabermetrics.
Contributions:346 commits, 29 PRs, 259 pushes in 2 years 8 months
pythonweb-basedmachine-learningdmsabermetrics
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