Library
Reading & References
Materials from my desk that shape how I think about AI, machine learning, infrastructure, and system design.
Currently Exploring
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Book
An Introduction to Statistical Learning: with Applications in Python
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, and Jonathan Taylor
Building a more rigorous statistical foundation for machine learning work.
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Certification / External
IIT Bombay Certificate in Agentic AI for Working Professionals
IIT Bombay / Great Learning
A structured way to test and strengthen my understanding of agentic systems.
Reading Shelf
Books, courses, and references I have studied, selectively studied, or return to while working.
Software Engineering
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Book
StudiedHead First Design Patterns
Eric Freeman, Elisabeth Robson, Bert Bates, and Kathy Sierra
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Book
ReferenceDesign Patterns: Elements of Reusable Object-Oriented Software
Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides
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Book
StudiedSystem Design Interview: An Insider's Guide
Alex Xu / ByteByteGo
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Book
StudiedSystem Design Interview: An Insider's Guide, Volume 2
Alex Xu / ByteByteGo
AI & Machine Learning
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Book
StudiedThe Hundred-Page Machine Learning Book
Andriy Burkov
Mathematics
Systems & Infrastructure
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Book
Selective StudyKubernetes in Action, Second Edition
Marko Luksa
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Specialization / External
StudiedArchitecting with Google Compute Engine
Google Cloud Training on Coursera
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Specialization / External
StudiedArchitecting with Google Kubernetes Engine
Google Cloud Training on Coursera