Joseph Teh
About Joseph Teh
Joseph Teh is an Embedded Software Engineer specializing in IoT, currently employed at Project Canary in Denver, Colorado. He has extensive experience in embedded software development, having previously worked at GE and Lockheed Martin, and holds multiple certifications in data science and artificial intelligence.
Work at Project Canary
Joseph Teh has been employed at Project Canary as an Embedded Software Engineer (IoT) since 2022. He works in a hybrid capacity from Denver, Colorado. In his role, he has designed a failure detection and recovery scheme specifically for the Canary IoT Sensing System. He is responsible for selecting microcontrollers for the next generation of embedded sensing platforms. Additionally, he has architected a fleet management and maintenance system for the Canary IoT Sensing System using AWS IoT. Teh also developed a predictive maintenance model to optimize maintenance cycles and costs for the system. He contributes to the development of coding standards and code review guidelines for the embedded software team.
Previous Experience in Embedded Software Engineering
Before joining Project Canary, Joseph Teh held several positions in embedded software engineering. He worked at Lockheed Martin from 2018 to 2022, serving as a Real Time Embedded Senior Software Engineer and later as a Senior Software Engineer & Product Owner. His career at GE spanned from 2010 to 2017, where he held roles including Embedded Software Manager and Wind Turbine Power Conversion Firmware Engineer. His experience at Micron Technology as a Probe Engineer Lead further solidified his expertise in embedded systems.
Education and Certifications
Joseph Teh has a diverse educational background. He studied Computer Engineering at Iowa State University from 1997 to 2000. He achieved Lean Six Sigma certification from Villanova University in 2007. Teh completed the Harvard Manage Mentor Management Series in 2013 through online studies at Harvard. He also obtained an Executive Data Science certification from Coursera in 2017 and an IBM Artificial Intelligence Engineering Professional Certification from 2019 to 2021. His continuous learning reflects his commitment to advancing his skills in technology and management.
Research and Development Initiatives
In his current role at Project Canary, Joseph Teh actively researches solutions aimed at reducing platform costs for IoT systems. His work includes developing innovative models and systems that enhance the functionality and efficiency of the Canary IoT Sensing System. His contributions to predictive maintenance and failure detection demonstrate his focus on improving operational performance and reliability in embedded systems.