Paul Burrows Email & Phone Number

Salem, Oregon

Led the team in translating high-level concepts into actionable plans, overseeing the implementation phase, and ensuring seamless integration to deliver robust and innovative solutions. Engineered comprehensive data analytics processes leveraging Spark, Cassandra, Kafka, Python, and Java, for effective data processing and analysis. Designed and implemented data pipelines for processing both batch and stream data, seamlessly integrating inputs from avionics, mobile apps, and web sources.Apply domain-driven design principles to construct RESTful web services and microservices, ensuring a robust and scalable architecture. Provide mentorship to Level 1, Level 2, and Senior Software Engineers, fostering their professional growth and contributing to the development of a skilled and cohesive team.Previously, led the software design and implementation of Garmin's connected cockpit system, orchestrating the seamless integration of personal electronic devices with avionics through wireless connectivity. Collaborated with various technology teams to architect a system facilitating the transfer of avionics-generated data to the cloud.

Salem Oregon

Engineered diverse products, including a Linux-based MMC card, to enable seamless WIFI and Bluetooth connectivity between avionics systems and connected phones and tablets. Designed a protocol stack and code library for Garmin’s connected cockpit. Developed Linux application software. Supported projects integrating Garmin’s connected cockpit functionality.

Salem Oregon

Designed and implemented a Bluetooth library for the Aviation group. Implemented an Apple IAP protocol library to interface with iOS devices. Developed Garmin OS low level drivers and kernel features. Developed board and system tests to verify units during manufacturing, environmental and compliance testing. Developed C# libraries and applications for information gathering and testing hardware. Worked on numerous embedded avionics devices using C on ARM processors and microcontrollers.

Master Of Science (M.S.), Computer Science With Specialization In Machine Learning, 3.9 Gpa

Specialization in Machine Learning. Implemented Machine Learning algorithms from scratch using Python and R. Utilized machine learning.

Bachelor Of Science (B.S.), Computer Science, 3.73 Gpa