Khang Lai is a Python developer and data scientist with 8 years of experience building ML-driven backend systems and cloud-native MLOps pipelines across GCP and AWS. He has led migrations and cost-optimizations, implemented RAG chatbots with LangChain and LLMs, and improved model accuracy in production use cases such as duplicate-image detection and customer-insight extraction. His background spans applied research (EEG signal modeling with RNN/LSTM) to product engineering for weather forecasting, IoT vision, and recommendation systems. Currently splitting roles at LUNDI MATIN and Footura, he focuses on scalable, automated ML workflows and pragmatic model optimization. An Arch Linux and i3wm enthusiast, he brings a developer-ops mindset to streamline environments and deployments that often uncovers efficiency gains others miss. Based in Montpellier, he combines rigorous academic training from Paris-Saclay and Paris VII with hands-on delivery in cross-industry AI projects.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Master Applied Machine Learning on Data Science (AMSD), Master of Science - MS, Master Applied Machine Learning on Data Science (AMSD) at Université Denis Diderot (Paris VII)
Bachelor of Science - BS, Information and Communication Technology, Bachelor of Science - BS, Information and Communication Technology at University of Science and Technology of Hanoi - USTH
Master of Science - MS, Master Data Science, Master of Science - MS, Master Data Science at Université Paris-Saclay
Contributions:8 pushes, 1 branch in 1 year 7 months
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