Summary
Sean Dougher is a Senior Data Scientist with a decade of hands-on experience building production ML systems and automation at Joby Aviation, where he architects generative AI frameworks and agentic LLM applications to accelerate engineering workflows. He combines deep expertise in time-series ML (including 1D-CNNs), Spark-based pipelines, and cost-optimized cluster orchestration with practical DevOps automation—having established CI/CD for internal Python libraries and test automation for DO-178C aircraft systems. Sean focuses on eliminating repetitive work to free engineers for higher-value tasks, recently applying that mindset to translate English to Spark SQL and to create agentic tools that manage complex multi-step processes. A USC Data Science master’s graduate based in Fremont, he pairs research-forward interests in generative AI with a pragmatic track record of speeding development and onboarding through tooling and clear documentation.
10 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science - Data Science, Graduate, Master's degree, Computer Science - Data Science, Graduate at University of Southern California
University of California Santa Cruz
AA Physical Science, Computer Science, AA Physical Science, Computer Science at Saddleback College
Diploma, Diploma at Laguna Hills High School
English, French