Summary
Yipeng Lin is a software engineer with a strong cross-disciplinary foundation in mechanical and computer system engineering, complemented by a Master’s focus in deep learning, machine learning, and computer vision from Carnegie Mellon. He has industrial experience building production-ready software and test automation—most recently as an SDE at Amazon and earlier building C++/Python test frameworks for automotive perception at Momenta. Hands-on mechanical design experience at Safran and campus research projects (including a sensor-driven Rubik’s Cube projection and a robotic knot-solving lab) give him an uncommon blend of hardware, embedded control, and perception software expertise. Comfortable across Android/Flutter, Python, Kotlin, and systems scripting, he emphasizes automation that turns multi-day tests into hourly pipelines. Based in Bellevue, WA, he pairs a 4.0 master’s record and strong undergraduate GPA with a practical bent for bridging algorithms to physical systems.
11 years of coding experience
Bachelor's degree, Mechanical Engineering, Computer System Engineering, 3.76/4.0, Bachelor's degree, Mechanical Engineering, Computer System Engineering, 3.76/4.0 at Rensselaer Polytechnic Institute
Master's degree, Deep Learning, Machine Learning, Computer Vision, 4.0/4.0, Master's degree, Deep Learning, Machine Learning, Computer Vision, 4.0/4.0 at Carnegie Mellon University