Data + ML

Concepts, Notes and Intuitions

GPU Essentials - A Concise Technical Guide

A concise, technical guide to GPU architecture and CUDA, showing how massive parallelism is achieved through threads, blocks, SMs, and memory hierarchies.

26 min read · 2025

Wrapping Up Our ML Foundations Journey

A reflection on our exploration of machine learning fundamentals, from mathematical prerequisites to gradient boosting.

3 min read · 2025

Transformer Block FLOPs & Parameters Calculations

Resource accounting for Transformer block

10 min read · February 13, 2026

2026 · LLMR-NYU
Distributed Systems - Lecture 1

Distributed Systems Course at NYU Courant - Personal Notes 1

15 min read · January 26, 2026

2026 · DS-NYU
LLMR - Lecture 1

LLM Reasoners Course at NYU Courant - Personal Notes 1

12 min read · January 24, 2026

2026 · LLMR-NYU
Apache Flink

Realtime and Big Data Analytics Course at NYU Courant - Personal Notes 10

13 min read · December 22, 2025

2025 · RBDA-NYU
Apache Kafka

Realtime and Big Data Analytics Course at NYU Courant - Conceptual Notes 9

38 min read · December 17, 2025

2025 · RBDA-NYU

Data + ML

Concepts, Notes and Intuitions

GPU Essentials - A Concise Technical Guide

Wrapping Up Our ML Foundations Journey

Transformer Block FLOPs & Parameters Calculations

Distributed Systems - Lecture 1

LLMR - Lecture 1

Apache Flink

Apache Kafka