Blog

Learnings from building object store backed databases 07 Jul 2026 learnings from building object store backed databases
Building a VPN from scratch 25 Aug 2023 A deep dive into various linux networking concepts and how they work together to allow us to build a VPN
Binary Searching in an array of objects - JS 06 Feb 2022 A small snippet to allow you to binary search an array of objects based on a custom function
Package and run python in Electron App (Without packaging python in the build) 10 Oct 2021 Learn how to use python with an electron application and build it on a machine without python installed.
The Incident of Indolent OTPs 22 Aug 2021 A story about my experience with conducting student body elections at my university, the problem we faced during the elections and how we resolved it
Advanced Git Workflows 11 Jun 2021 Want to be a git-wizard? Here are some advanced git tricks which will save your time. Learn how to move commits from one branch to another, restore deleted commits and commit only a part of a modified file
Enabling gzip and brotli compression with Nginx and React 23 May 2021 A guide to help you increase your lighthouse score by serving brotli and gzip compressed pages through nginx. Also contains explanation about how to encode your react application builds in brotli and gzip
Creating a sitemap for your Gatsby Site using gatsby-plugin-sitemap 17 May 2021 A tutorial to help you automatically build a sitemap for your gatsby site. Contains documentation on using the gatsby-plugin-sitemap package
Setting up a local Wordpress, MySQL and XDebug environment with Docker 16 May 2021 A blog to help you setup your local wordpress environment for development. If you want to use docker & docker hub for generating, storing and building images or you wish to connect your wordpress site to a MySQL DB or just want to setup up XDebug for PHP Debugging, this guide will help you.
Phishinder: A phishing detection tool 16 Nov 2020 A step by step guide to how I created phishinder, a tool which takes a website url as input and returns if the site is legitimate or not. The tool uses pretrained machine learning models to determine if a site is malicous. The blog also contains information about how I trained the models.