Shubham Kumar is a Senior Data Scientist and AI consultant , with 7+ years of experience building production-grade data and AI systems for global pharma clients.

He works daily with agentic AI architectures — designing and deploying multi-step pipelines, orchestration systems, and LLM-integrated workflows on AWS, Databricks, and PySpark at scale. His hands-on work with the Claude platform and Anthropic's developer ecosystem is what led him to pursue the CCA-F certification — and ultimately to build this course from the ground up based on his own exam preparation.

Shubham holds a BTech from UPES Dehradun and made a self-directed pivot from engineering into data science and AI — a path that gives him a practical, systems-thinking approach to how AI tools actually get built and deployed in the real world, not just described in documentation.

Beyond his consulting work, he builds AI-powered tools and educational products for practitioners, with a focus on making complex AI concepts accessible to working engineers and architects.

He created this course because the practice materials he found during his own CCA-F preparation didn't reflect how the real exam actually tests — scenario-anchored, application-level reasoning. These 240 questions are what he wished had existed.