Summary
Jiandong Jin is an engineer with 11 years of experience specializing in data science, machine learning, and intelligence analytics, currently working on data infrastructure and ML modeling at Peking University. His background spans industry and research internships at Apple (Siri dialog generation), MEGVII (6D pose estimation), and multiple AI/FinTech teams where he applied NLP, knowledge graphs, and computer vision to practical problems. He holds a master's in computer science from Peking University and a BS in Traffic Engineering from Tongji, giving him a strong foundation in both algorithmic modeling and applied systems for sensing and transportation. Jiandong has also mentored and reviewed projects in autonomous driving and deep learning through Udacity, reflecting a commitment to teaching and reproducible engineering. His interests in FinTech and OSINT complement a profile that bridges research-grade ML with real-world risk and analytics use cases. Colleagues would note he blends rigorous academic training with hands-on implementation across sensor, NLP, and financial-data domains.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science (BS) Traffic Engineering, Bachelor of Science (BS) Traffic Engineering at Tongji University
Master's degree Computer Science, Master's degree Computer Science at Peking University