Summary
Tengfei Ma is a Machine Learning Engineer with over a decade of experience building production-ready algorithms for recommendation, advertising, and telecommunications. He has driven measurable improvements—such as boosting RL reward by 14% and doubling training efficiency—by combining graph attention networks with reinforcement learning during his Ericsson thesis work that led to a WIPO patent. At BOSS直聘 he improved recall and ranking for job matching by enriching twin-tower models with user action sequence features, and at Baidu he focused on ad click/convert analytics, abnormal traffic detection, and semantic intent identification with siamese models. Educated in mechatronics and computer science across Università di Trento and KTH, he blends strong academic foundations with practical systems thinking. Based in Beijing with international training and a personal motto of “study hard and make progress every day,” he brings both rigor and curiosity to scaling ML solutions.
11 years of coding experience
1 year of employment as a software developer
Master's degree, Mechatronics Engineering, Master's degree, Mechatronics Engineering at Università di Trento
Master's degree, Computer Science, Master's degree, Computer Science at KTH Royal Institute of Technology
Associate of Science - AS, Information Engineering, Associate of Science - AS, Information Engineering at 东南大学