Summary
Xuancong Wang is a data scientist and NLP researcher with 11 years of experience applying deep learning to machine translation, speech processing and time-series anomaly detection. He combines hands-on research (PhD-level computer science) with strong engineering skills—GPU cluster procurement and hardening, Linux kernel and driver development, and end-to-end deployment of offline/air-gapped ML systems. At I^2R he led MT system training, error analysis and production deployment onto government infrastructure, and at MOHT he built DNN pipelines and dashboards for digital phenotyping and relapse prediction. Equally comfortable coding in Python/C++ and debugging cross-language stacks, he also develops Android and Django backends and maintains secure server clusters. Outside core ML he tinkers with embedded electronics and has unusual technical feats—installing PyTorch on unrooted Android and performing arbitrary-precision symbolic/numeric math on a smartphone. Based in Singapore, he publishes code and notes publicly (github.com/xuancong84) and blends academic rigor with production-minded engineering.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science (BS), physics major / maths minor, 1st class honor, Bachelor of Science (BS), physics major / maths minor, 1st class honor at National University of Singapore
Chinese, English