About

Peng Jun (PJ) Huang is an accomplished software engineer and machine learning expert with extensive experience in leading technical teams and developing innovative solutions in the tech industry. With a passion for statistics, programming, distributed systems, education, and cutting-edge technology, PJ is a highly skilled and versatile professional with expertise in both backend and frontend development. Currently working as a Machine Learning Engineer at Nextdoor, PJ is responsible for developing ads, feed infrastructure, and machine learning solutions. Prior to this, he worked as a Software Engineer at Carta and a Machine Learning Engineer at Affirm, Inc., where he honed his skills in developing scalable and reliable software solutions. PJ holds a Master's Degree in Statistics and a Bachelor's Degree in Applied Mathematics and Statistics from the University of California, Los Angeles. He is a self-taught frontend developer and has a strong background in backend development, with expertise in ML, software engineering, frontend and backend development, and infrastructure. With 9.78 years of relevant experience, PJ is a technical leader with a proven track record of delivering high-quality solutions and driving innovation in the tech industry. He is a collaborative team player with excellent communication skills and a passion for learning and sharing knowledge with others.