Summary
Zhuoyang Zhan is a Partner and CTO at Techfin.ai with nine years’ experience building production-grade deep learning and quantitative trading systems. He holds a Master’s in Applied Analytics from Columbia (4.0 GPA) and has blended research experience from the Chinese Academy of Sciences with hands-on AI startup leadership at Lanternfish and Lucy. His work spans end-to-end ML: designing large-scale training frameworks, reinforcement learning strategies, automated signal generation, reliable backtesting, and deploying NLP/knowledge-graph solutions for legal and patent domains. Proficient in Python, Java, C++, TensorFlow/PyTorch/Keras, and databases like MongoDB/Postgres, he routinely bridges product, research, and client needs across Shenzhen and Mainland China. Notably, he has translated domain corpora into practical models (e.g., word2vec for law and medical corpora) and led quant fund research and systemization as a fund manager. Colleagues describe him as a rare hybrid of quantitative trader, applied researcher, and product-minded engineering leader.
9 years of coding experience
5 years of employment as a software developer
Bachelor, Management Science and Engineering, 3.7/4.0, Bachelor, Management Science and Engineering, 3.7/4.0 at Sun Yat-sen University
High School Education, 理科, High School Education, 理科 at Guangdong Experimental High School
Master, Applied Analytics, 4.0/4.0, Master, Applied Analytics, 4.0/4.0 at Columbia University
Chinese, Chinese, Chinese