Notes Archive
Blogs & Working Notes
Notes on LLMs, coding interviews, machine learning, theory, and linear algebra.
memory
2026
LLM Notes
Not ready yet. I am leaving this one unpublished for now rather than pretending it is a finished note.
code
Algorithms
Coding Interviews
The original essay plus category notes on arrays, heaps, trees, graphs, DP, and backtracking.
analytics
Core ML
ML Pointers
MLE, MAP, logistic regression, SVMs, and the classical machine learning foundations worth keeping fresh.
functions
Math & Stats
Theory Notebook
Probability, statistics, inequalities, convergence, and the mathematical instincts underneath modern ML.
schema
Linear Algebra
Linear Algebra
Motivation, resources, and the geometric facts that made linear algebra finally click for me.