Summary
Abner Wok is a senior data scientist based in Shanghai with nine years of experience applying deep learning and NLP to real-world products, from legal research at LexisNexis to enterprise chatbots at ZEISS. He combines hands-on model training and deployment (including AWS Lambda) with feature engineering and ensemble methods developed earlier in anti-fraud systems. Currently focused on LLM training, application and prompt engineering, he pairs research curiosity with a pragmatic drive to ship AI services. An open-source and Linux enthusiast who enjoys sharing knowledge, he brings a strong statistical foundation (MSc in Applied Statistics) and a track record of turning complex language tasks into production APIs.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Materials Science and Engineering, Bachelor's degree, Materials Science and Engineering at University of Jinan
Master's degree, Applied Statistics, Master's degree, Applied Statistics at Shanghai Normal University
English