MLOps Fundamentals
Building reliable ML systems from data pipelines to production monitoring
ML engineers, data scientists, and backend engineers moving from model experiments to production operations.
Thoughts on code, technology, and everything in between
Long-form posts on platform engineering, Linux, compilers, MLOps, and computer architecture, written to help you build stronger intuition instead of just memorize terms.
A few strong entry points if you are new here.
Fresh writing, updates, and ongoing series entries.
Building reliable ML systems from data pipelines to production monitoring
ML engineers, data scientists, and backend engineers moving from model experiments to production operations.
From finite automata and formal languages to building a compiler from scratch
Readers who want both the theory behind language processing and the bridge to real compiler construction.
Understanding the Linux kernel from processes and memory to containers
Engineers who use Linux daily and want to understand what the kernel is doing underneath familiar commands and APIs.
From finite automata and formal languages to building a compiler from scratch
Learn about Python's container concept, list internals, and efficient iteration with generators
Learn how Python reads and understands your code, starting from the first step of lexical analysis
Python's values, design philosophy, and the art of trade-offs