Summary
Viet-phi Huynh is an AI engineer based in Greater Paris with eight years of experience building production-ready machine learning and data solutions. At Orange he develops agentic QA workflows, GraphRAG knowledge bases, semantic search pipelines and semantic annotation APIs, and has hands-on experience fine-tuning LLaMA models and crawling domain corpora. His background spans applied research in spatio-temporal modeling and remote sensing (ConvLSTM, Kalman, HMM) and benchmarked RNNs vs. Transformers for forecasting, reflecting a strong bridge between research and engineering. He routinely ships internal ML services with FastAPI, emphasizes inference acceleration and package maintainability, and is fluent in both lexical and semantic retrieval tools like ElasticSearch and LangChain. A top-performing EURECOM MSc graduate (4.0/4.0), he combines rigorous academic training with practical DevOps and MLOps skills. Colleagues describe him as a deep learner who turns analytical curiosity into robust, deployable AI systems.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Telecommunications Engineering, 8.27/10, Bachelor of Engineering (B.Eng.), Telecommunications Engineering, 8.27/10 at Ho Chi Minh University of Technology
Master of Science - Msc, Data Sciene and Engineering, 4.0/4.0, Master of Science - Msc, Data Sciene and Engineering, 4.0/4.0 at EURECOM