Summary
Levin Jian is a SLAM engineer based in Shanghai with over a decade of software engineering experience and more than three years focused on visual and semantic SLAM for autonomous driving. He led development of a lightweight, multi-sensor semantic SLAM system (camera + IMU + wheel odometry + GNSS) for Automated Valet Parking at AIWAYS, emphasizing object-based semantic maps that reduce compute and ease mass-production. Comfortable porting algorithms to embedded platforms, he combines research-grade familiarity with ORB, VINS, ceres and Eigen with practical ROS-based toolchains and production C++/Python engineering. His background spans ML-driven computer vision work (CNN/LSTM/TensorFlow) and embedded ARM/Linux systems from earlier roles, giving him a rare blend of perception, inference and systems expertise. Levin’s work is notable for trading cloud dependence for on-vehicle efficiency, enabling scalable AVP deployment. He holds advanced training in machine learning and autonomous systems through multiple Udacity nanodegrees alongside formal mechanical engineering degrees.
11 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Mechanica and electrical engineering, Bachelor's degree, Mechanica and electrical engineering at Nanchang University
Udacity Machine Learning Engineer Nanodegree, Machine learning, Udacity Machine Learning Engineer Nanodegree, Machine learning at Udacity
Chinese, English