Library
Reading & References
Materials from my desk that shape how I think about AI, machine learning, infrastructure, and system design.
Active stack
In Progress
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Book
Kubernetes in Action, Second Edition
Marko Luksa
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Certification
IIT Bombay Certificate in Agentic AI for Working Professionals
IIT Bombay / Great Learning
Completed shelf
Studied & Finished
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Book
Head First Design Patterns
Eric Freeman, Elisabeth Robson, Bert Bates, and Kathy Sierra
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Book
Design Patterns: Elements of Reusable Object-Oriented Software
Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides
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Book
System Design Interview: An Insider's Guide
Alex Xu / ByteByteGo
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Book
System Design Interview: An Insider's Guide, Volume 2
Alex Xu / ByteByteGo
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Book
The Hundred-Page Machine Learning Book
Andriy Burkov
Notes & Margins
Recommended Reading
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Book
Principles of Building AI Agents
Sam Bhagwat / Mastra
A useful overview of how to build agentic AI applications. The ideas are not limited to Mastra; the core concepts transfer well to other languages, runtimes, and frameworks.
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Book
The Hundred-Page Machine Learning Book
Andriy Burkov
Best used as a concise revision guide after developing foundational ML knowledge. I would not recommend it as a first introduction to machine learning.