
Blog & Writing
Notes on building, learning, and the systems I care about.
Overview
Writing is how I make sense of what I’m building, what I’m learning, and what I believe.
Some pieces are deep dives into secure systems or scaling ML infrastructure. Others are journal entries on career decisions, product strategy, and how I approach building. All of them are written to teach, reflect, and share.
Featured Posts

What Building QuietDrop Taught Me About Privacy
Substack · Jun 27, 2025
A reflection on designing secure-by-default messaging systems in Rust, and why privacy can’t be a last-minute add-on. Read on Substack

OCaml Isn’t Just a Niche Language — It’s a Systems Superpower
Medium · May 30, 2025
My experience building high-performance infrastructure in OCaml, and why more engineers should give it a look. Read on Medium

Notes on Learning about Large Language Models
Substack · Jun 17, 2025
A running list of concepts and takeaways while learning how LLMs work, from tokenization to transformers. Read on Substack

Writing Documentation that Engineers Actually Read
Medium · May 29, 2025
How I approach technical documentation as a product: structured, searchable, and built to last. Read on Medium
Bookshelf
Out of the many books I enjoy, spanning tech, fiction, history, and beyond, here are a few that have meaningfully shaped the way I think, build, and lead.
Technical
These books shape how I design systems, understand complexity, and work with code that scales.
Designing Data-Intensive Applications
~ Martin Kleppmann
Deep Learning
~ I. Goodfellow, Y. Bengio & A. Courville
Programming Rust
~ J. Blandy, J. Orendorff & L. Tindall
Machine Learning for Algorithmic Trading
~ Stefan Jansen
OCaml from the Very Beginning
~ John Whitington
Production-Ready Microservices
~ Susan J. Fowler
Algorithms Illuminated (1 - 4)
~ Tim Roughgarden
Software Architecture with C++
~ Adrian Ostrowski & Piotr Gaczkowski
Practical Time Series Analysis: Prediction with Statistics and Machine Learning
~ Aileen Nielsen
Algorithmic Trading with Python: Quantitative Methods and Strategy Development
~ Chris Conlan
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
~ Eric Siegel & Thomas H. Davenport