Summary
Shaowen Zhou is a research-focused software engineer with nine years of experience building ML-driven NLP systems and full‑stack web demos, currently developing knowledge‑graph construction models and prototype applications at Nanyang Technological University. He combines a solid academic foundation from NUS and NTU with hands‑on research at Alibaba Cloud, where he explored generative OpenIE and semi‑supervised frameworks and experimented with LLM prompting for extraction tasks. Proficient in Python, PyTorch, Flask, Vue and Streamlit, he designs end‑to‑end pipelines—spanning model development, API design, UX and deployment—to turn research into usable demos. Earlier work includes LSTM autoencoders for query‑log anomaly detection and production engineering on enterprise file services, reflecting his ability to move ideas from prototype to scalable systems. Colleagues value his practical focus on reproducible demos and his knack for translating complex NLP research into intuitive applications.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Applied Mathematics, Bachelor of Science - BS, Applied Mathematics at National University of Singapore
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Nanyang Technological University Singapore
Chinese, English