Nguyen Hai is a Senior System Engineer based in Kyoto with 8 years of experience building privacy-first B2B AI agent systems and on-premise document intelligence pipelines. He combines deep learning and NLP expertise with hands-on systems engineering—designing OCR, table extraction, and local RAG solutions that avoid external data exposure while supporting enterprise deployments. His background spans embedded and electronics testing, database administration, and academic research in static code analysis and NLP at Ritsumeikan, giving him a rare mix of low-level systems fluency and advanced ML skills. Proficient in Python, C/C++, PyTorch/TensorFlow and containerized production stacks, he also fine-tunes LLMs for local FAQ/chatbot use cases. Outside work he explores data-science side projects and documents his learning on an active blog, reflecting a continual focus on applied research and reproducible engineering.
8 years of coding experience
10 years of employment as a software developer
HUST Bachelor of Electronics and Computers Engineering ( Aug 8, 2014 ), Electronics and Communications Engineering, 3.28/4 (major: 3.65 / 4.00) – Top 5%., HUST Bachelor of Electronics and Computers Engineering ( Aug 8, 2014 ), Electronics and Communications Engineering, 3.28/4 (major: 3.65 / 4.00) – Top 5%. at Hanoi University of Science and Technology
Japanese Language and Literature, Japanese Language and Literature at Wakayama College of Foreign Studies
Master's degree, Computer and Information Systems Security/Information Assurance, GPA 4.86/5.0 (上位 1%), Master's degree, Computer and Information Systems Security/Information Assurance, GPA 4.86/5.0 (上位 1%) at Ritsumeikan University
My self-practice Jupyter notebooks which reproduce the results from Datacamp Data Science lectures.
Contributions:178 commits, 30 PRs, 209 pushes in 3 months
pythonsciencedata-sciencejupyter-notebooktextbook
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