Summary
Long Do Cao is a Lead Data & AI architect based in Paris with 11 years of experience building production-grade cloud data platforms and deploying ML/LLM solutions across AWS, GCP and Azure. He holds a PhD in Computer Science and a strong research background in large-scale numerical simulations, which informs his expertise in managing terabyte-scale datasets and distributed processing (Hadoop/Hive/Spark). Long has led cross-functional teams to deliver cost-optimized Azure serverless ETL pipelines, real-time computer vision on mobile, and massive graph/ELK search systems for clients like Orange, AXA and Boehringer Ingelheim. He pairs hands-on technical delivery—optimizing FinOps, observability and automated incident response—with product-aligned strategy and governance from enterprise (EDF) to startup settings. Notably, his work blends low-latency inference on edge devices with large-scale enterprise data engineering, making him adept at translating research-grade methods into reliable production services.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Astronomy and Astrophysics, Doctor of Philosophy (PhD), Astronomy and Astrophysics at Université Paris Cité
English, French, Spanish, Japanese, Vietnamese