Books that shaped how I think about systems, markets, and engineering. Updated quarterly.
Systems & Engineering
High Output Management — Andy Grove Treating organizations like engineering pipelines. The management book that reads like a systems design doc. Essential for anyone who manages infrastructure or people.
Designing Machine Learning Systems — Chip Huyen The production ML bible. If you’re deploying models, not just training them, start here.
AI Engineering — Chip Huyen The 2025 follow-up. Covers the full stack from inference to deployment in the era of foundation models.
Quantitative Finance
The Man Who Solved the Market — Gregory Zuckerman How Jim Simons and Renaissance Technologies proved that elite scientists and HPC engineers could systematically extract alpha from financial markets. The history of what you’re building toward.
Decision-Making & Strategy
Thinking in Bets — Annie Duke Professional poker player on decision-making under uncertainty. Directly applicable to risk management, trading decisions, and engineering tradeoffs.
Last updated: March 2026. This list only includes books I’d recommend to a peer engineer working at the intersection of ML infrastructure and quantitative systems.