This repository contains tips and resources to prepare for behavioral interviews.

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020

A collection of software engineering books - This repo has been archived because of limited LFS storage. New books will be updated on the link below

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…

WhiteSource security scan action for Github package registry

Cracking the Coding Interview 6th Ed. Python Solutions

Awesome List of resources on leading people and being a manager. Geared toward tech, but potentially useful to anyone.

Markdown Cheatsheet for Github Readme.md

A serverless implementation of the FHIR standard that enables users to focus more on their business needs/uniqueness rather than the FHIR specification

A SMART on FHIR implementation of the FHIR Works on AWS framework, utilizing OAuth2/OIDC authorization server to authorize requests

The routing implementation of the FHIR Works on AWS framework. Finding the correct component to handle the HTTP FHIR request

A DynamoDB implementation of the FHIR Works on AWS framework, enabling users to complete CRUD operations on FHIR resources

The interface for the FHIR Works on AWS framework. This package is the glue that allows communication to flow between components

A role based access control implementation of the FHIR Works on AWS framework, utilizing Cognito and User Groups to perform authorization

An Elasticsearch implementation of the FHIR Works on AWS framework, enabling users to search for FHIR resources

A curated list of awesome System Design (A.K.A. Distributed Systems) resources.

😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

A curated list of awesome READMEs

An awesome README template to jumpstart your projects!

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.