Name: Mridul Kapoor
Type: User
Company: American Express GBT
Bio: B.Tech CSE Engineering | Ex SDE intern at American Express | GFG Institute Rank 2 (1300+ score) 👨🏻💻 | 5⭐ HackerRank | Open Source Contributor
Location: New Delhi, India
Blog: https://sites.google.com/view/mridul-kapoor
Mridul Kapoor's Projects
Tech interview prep list
Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub](https://github.com/QasimWani/LeetHub).
🏋️ Python / Modern C++ Solutions of All 2416 LeetCode Problems (Weekly Update)
This is a repository containing the list of company wise questions available on leetcode premium
My personal repo
detailed notes on computer science topics, in one page
The only guidebook to object oriented programming in C++ you will ever need.
A list of open source programs.
Paid internship list with details .
Complete Resource Guide to prepare for Big Product Based companies like Amazon, Microsoft, Google, Apple etc.
Bank Management System
All Algorithms implemented in Python
A collection of Flutter examples and demos.
Most comprehensive list :clipboard: of tech interview questions :blue_book: of companies scraped from Geeksforgeeks, CareerCup and Glassdoor.
C++ Solutions of 180 Questions [30 Days] of Strivers SDE Sheet , YouTube Channel TAKEUFORWARD (Raj Vikramaditya bhaiyaa)
A realtime React app made with Firestore (Auth, Storage, Hosting), SWR, and Vite
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Internship at Prodyme
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.
These are codes for Top Interview Questions from Leetcode.
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.