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Starred repositories
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
All the resources you need to get to Senior Engineer and beyond
List of books, blogs, newsletters and people!
Problem statements on System Design and Software Architecture as part of Arpit's System Design Masterclass
The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes
JDK main-line development https://openjdk.org/projects/jdk
Curated list of open source tooling for data-centric AI on unstructured data.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Spring Boot helps you to create Spring-powered, production-grade applications and services with absolute minimum fuss.
A tool for secrets management, encryption as a service, and privileged access management
Go further into "Learn Spring Security":
A fully automatic loading / progress bar for your angular apps.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
checkcheckzz / interview
Forked from Olshansk/interviewEverything you need to kick ass on your coding interview
Google's Engineering Practices documentation
Open source documentation of Microsoft Azure
A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and bat…
LinkedIn's previous generation Kafka to HDFS pipeline.
Free and Open Source, Distributed, RESTful Search Engine
Apache Lucene and Solr open-source search software
Apache Spark - A unified analytics engine for large-scale data processing
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Code and walkthrough labs to set up a serverless chat application for the Zombie Apocalypse Workshop
Contains Full Visual Search and Video processing using Amazon Rekognition