What I'm reading
and building toward.

"Small systems compound into big results — already applying habit-stacking and implementation intention frameworks to my engineering routine."

"Frankl's account of finding purpose in the worst conditions reframes how I think about motivation and meaning in work. Essential reading."

"A foundational read on mindset and the law of attraction. Changed how I approach goals and the energy I bring to building things."

"The definitive book on distributed systems, databases, and data pipelines. Essential context for anyone building scalable backends."

"Production ML pipelines, data loops, and deployment. Directly relevant to building reliable RAG and LLM systems at scale."

"Domain-driven design, CQRS, and event-driven architecture in Python. Exactly what you need for building maintainable FastAPI systems."

"The natural next read for a Technical Lead thinking about the Staff+ trajectory. Covers archetypes, influence, and technical strategy."

"Timeless principles on writing better software. DRY, orthogonality, and automation are as relevant today as ever."

"Covers the full data engineering lifecycle — ingestion, storage, transformation. Useful context for building robust AI data pipelines."

"Practical coverage of RAG patterns, prompt engineering, and LLM application architecture. Directly maps to your current stack."