
Riyaj Shaikh
Sr Manager Data Science & Analytics focused on AI
riyajshaikh
Dubai, United Arab Emirates
Joined January 2026
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Summary
Advocate and educator for testing AI systems: Riyaj writes and presents extensively on AI testing, model staleness, fairness, and testability, and has delivered training/webinar sessions to tester communities. wordpress+3
Experienced data science leader across industry roles: Holds senior data science roles spanning Vodafone, Bugasura, e-Zest, upGrad, and GSSC, with responsibilities in machine learning, AI and analytics at team and program levels. weekday
Active in open-source and community contributions: Maintains GitHub repositories and gists, has a Kaggle account, and participates in community talks and trainings related to data science and CI/CD topics. github+3
Focus on practical ML reliability issues: His writing emphasizes practical risks in ML systems (staleness, fairness, resource costs, non-determinism) and prescribes testing and operational practices to mitigate them. wordpress+1
Work
Education
Projects
Writing
AI model staleness – A Tester perspective
April 1, 2020Explains what model staleness is, how to identify it, and ways to mitigate staleness in ML systems from a tester's perspective.
Why is it important for testers to learn AI?
May 1, 2017Blog post / training write-up explaining why software testers should learn AI and how testing needs to adapt for ML systems.
AI Testing Blog (site)
Series of posts on testing and quality for AI systems; covers interpretability, fairness, model behavior, and testing practices.
Hobbies
Writes and publishes a blog focused on AI testing and model quality. wordpress
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