Become a better engineer


Super practical courses, with a no-fluff no-nonsense approach, that are designed to spark engineering curiosity and help you ace your career.


System Design Masterclass

A no-fluff masterclass that helps SDE-2, SDE-3, and above form the right intuition to design and implement highly scalable, fault-tolerant, extensible, and available systems.


Details →

System Design for Beginners

An in-depth and self-paced course for absolute beginners to become great at designing and implementing scalable, available, and extensible systems.


Details →

Redis Internals

A self-paced and hands-on course covering Redis internals - data structures, algorithms, and some core features by re-implementing them in Go.


Details →



Arpit Bhayani

Hey, I am Arpit

tinkerer, educator, and entrepreneur

I am a software engineer and an engineering leader passionate about System Architecture, Databases Internals, Language Internals, and Advanced Algorithms. I am the creator and maintainer of DiceDB - a redis-compliant, scalable, highly available, unified cache optimized for modern hardware.

In 2024, I took the leap of faith and co-founded Profile.fyi, where I took care of all things tech and product. Before this, I was a Staff Engineer at Google leading the Dataproc India team in providing a managed big data ecosystem to GCP customers. I was also part of Amazon's Fast Data Team and took care of cold tiering of hot data and providing a seamless query interface across all tiers.

I held engineering leadership positions (both IC and management) at Unacademy, where I built, grew, and led Search, Site Reliability Engineering (SRE) teams, and Data Engineering teams. I hold a total of 10+ years of experience in scaling backend services, taking products and teams from 0 to 1, and beyond.

I keep diving deep into engineering details and share my learnings by across my socials and videos on YouTube.

Arpit Bhayani


Arpit's Newsletter read by 100,000 engineers

Weekly essays on real-world system design, distributed systems, or a deep dive into some super-clever algorithm.