Greg Ferrar
About Greg Ferrar
Greg Ferrar is a Senior Software Engineer with extensive experience in software optimization and data pipeline development. He currently works at Joby Aviation and FLOWERFIRE, INC., and has previously held positions at Intel and Oracle.
Work at Joby Aviation
Greg Ferrar serves as a Senior Software Engineer at Joby Aviation, a position he has held since 2019. He is based in the San Francisco Bay Area and focuses on software optimization and anomaly detection. His work includes utilizing C++ for software optimization and employing Keras for anomaly detection. Ferrar has contributed to the development of data pipelines and has experience with various tools and technologies relevant to the aviation industry.
Current Role at FLOWERFIRE, INC.
In addition to his role at Joby Aviation, Greg Ferrar has been a Development Consultant at FLOWERFIRE, INC. since 2018. His responsibilities in this position involve leveraging his expertise in software development to support various projects. His experience in this role complements his technical skills and enhances his contributions to the software engineering field.
Education and Expertise
Greg Ferrar holds a Master's degree in Computer Science from the University of Illinois Urbana-Champaign, which he completed from 1996 to 1999. He also earned a Bachelor of Science in Mathematics from The Ohio State University, studying there from 1988 to 1994. His educational background provides a strong foundation for his work in software engineering, particularly in data pipelines and software optimization.
Professional Background
Greg Ferrar has a diverse professional background in software engineering. He worked as a Computer Programmer at Intel from 1993 to 1996. Later, he served as a Software Architect at Oracle from 2014 to 2018. His career has spanned various roles and responsibilities, allowing him to develop a wide range of technical skills and expertise in software development.
Technical Skills and Tools
Greg Ferrar utilizes a variety of tools and technologies in his work, including Python, Spark, Airflow, Kafka, Docker, and Kubernetes. His expertise in building data pipelines using Avro over Kafka with Schema Registry is particularly notable. These skills enable him to effectively address challenges in software optimization and anomaly detection within the engineering domain.