Summary
Tin Hoang is an AI Research Engineer and versatile cloud/MLOps lead with a decade of experience building production-ready deep learning systems and scalable cloud infrastructure. He combines hands-on research—publishing a SOTA OCR model (LODENet) and studying federated learning in his MSc—with practical MLOps expertise, having standardized model CI/CD and saved his company $6k–8.2k/month in cloud costs. At Cinnamon he splits time between advancing deep learning research and implementing cloud governance, FinOps and automation (including multi-cloud logging and agentic idle-instance nagging). A certified AWS Solutions Architect (Professional) who mentors teams and reduces deployment effort by ~32%, he also maintains internal tooling and contributes to HuggingFace ecosystems. Though naturally introverted, Tin channels strategic curiosity into gaming and writing, keeping a pragmatic, experimental approach to shipping impactful AI products.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MSc, Artificial Intelligence, 81.5/100, Distinction (In Progress), Master of Science - MSc, Artificial Intelligence, 81.5/100, Distinction (In Progress) at University of Surrey
Bachelor of Science (Honours Program), Computer Science, 8.94/10 (ranked 2nd in class of 2018), Bachelor of Science (Honours Program), Computer Science, 8.94/10 (ranked 2nd in class of 2018) at University of Information Technology
English, Vietnamese