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Bookshelf

A curated corner of books I'm currently reading, queuing up, or revisiting. Aligning focus, systems engineering, and storytelling.

📖 Currently Reading

Cover of Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow
📖 Currently Reading45% Complete

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

by Aurélien Géron

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Cover of The Mountain Is You: Transforming Self-Sabotage Into Self-Mastery
📖 Currently Reading71% Complete

The Mountain Is You: Transforming Self-Sabotage Into Self-Mastery

by Brianna Wiest

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Cover of AI Engineering: Building Applications with Foundation Models
📖 Currently Reading8% Complete

AI Engineering: Building Applications with Foundation Models

by Chip Huyen

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⏳ Queue & Library

⏳ Waitlist Queue

Think and Grow Rich

by Napoleon Hill

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Make It Stick: The Science of Successful Learning

by Peter C. Brown, Henry L. Roediger III, Mark A. McDaniel

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Building Applications with AI Agents

by Michael Albada

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High Performance Python

by Micha Gorelick, Ian Ozsvald

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Software Architecture: The Hard Parts

by Neal Ford

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Generative AI Design Patterns

by Valliappa Lakshmanan, Hannes Hapke

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⏳ Waitlist Queue

Evals for AI Engineers

by Shreya Shankar, Hamel Husain

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⏳ Waitlist Queue

Machine Learning System Design Interview

by Alex Xu, Ali Aminian

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Designing Machine Learning Systems

by Chip Huyen

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LLMOps: Operationalizing Large Language Models

by O'Reilly Media

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Fundamentals of Data Engineering

by Joe Reis & Matt Housley

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The 7 Habits of Highly Effective People

by Stephen R. Covey

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⏳ Waitlist Queue

Practical Deep Learning for Cloud, Mobile, and Edge

by Anirudh Koul, Siddha Ganju, Meher Kasam

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⏳ Waitlist Queue

LLM Engineer's Handbook

by Paul Iusztin, Maxime Labonne

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