Ali Arsanjani is a seasoned AI and cloud leader who currently directs Applied AI Engineering and the Global AI Center of Excellence at Google Cloud, shaping Generative AI strategy, product direction, and partner co-innovation. With a career spanning IBM, AWS, startups and telecoms, he combines large-scale delivery experience—leading thousands of practitioners and enterprise AI programs—with hands-on ML expertise in NLP, LLMs, anomaly detection, and conversational AI. He founded DeepContext and contributed practical ML notebooks to popular repos like Amazon SageMaker examples, demonstrating a bias for production-ready, business-focused ML solutions. An adjunct professor at SJSU and UCSD, Ali blends academic mentorship with industry impact and has a PhD in Computer Science, plus a background in defining SOA and cloud standards that still informs his systems thinking.
7 years of coding experience
21 years of employment as a software developer
PhD Computer Science, PhD Computer Science at De Montfort University
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Role in this project:
ML Engineer
Contributions:82 reviews, 14 commits, 27 PRs in 9 months
Contributions summary:Ali contributed to example Jupyter notebooks demonstrating the building, training, and deployment of machine learning models using Amazon SageMaker. They added and updated notebooks for a fraud detection example, including architecture, data exploration, and model deployment. The user's commits also included work on customer churn and retail recommendation use cases, indicating a focus on applying ML to solve business problems.
Contributions:16 commits, 14 pushes, 1 branch in 2 years 10 months
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Ali Arsanjani - Director, Applied AI Engineering at Google