Gaurish Sharma (gaurish)

gaurish

Geek Repo

Company:Punchh Inc

Location:Austin, TX

Home Page:http://www.gaurishsharma.com

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jaipurruby

Gaurish Sharma's repositories

dotfiles

Bash aliases, vim config & other dotfiles

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CONAM

Programs for Computer Oriented Numerical Methods paper taught in MCA of RTU, Kota

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ruby-docker-microservice

Docker Container written in Ruby

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sendgrid_webhook_lamdba

AWS Lambda function to save sendgrid events to S3 & proxy unsubscribe calls to your server

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aws

Collection of AWS Resources & Templates for personnel use

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90DaysOfDevOps

I am using this repository to document my journey learning about DevOps. I began this process on January 1, 2022, and plan to continue until March 31. I will be dedicating one hour each day, including weekends, to gaining a foundational understanding of the various aspects of DevOps. This will be a 90-day intensive study period. 2022 & 2023 inc.

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arel

A Relational Algebra

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aws-lambda

Experiment to get CI/CD pipeline going on AWS Lambda

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dataduct

DataPipeline for humans.

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docker-rails

An opinionated docker image for running Rails apps in production.

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docker.github.io

Source repo for Docker's Documentation

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faraday_middleware-parse_json_object

Faraday middleware for parsing JSON as openstruct Object

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go

The Go programming language

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hiredis-rb

Ruby wrapper for hiredis

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jets

Jets: The Ruby Serverless Framework

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minitest-fail-fast

Reimplements RSpec's "fail fast" feature for minitest

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rails

Ruby on Rails

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rails-asset-notifier

Rails Broken Asset Notifier

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rspec-expectations

Provides a readable API to express expected outcomes of a code example

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saml_idp

Ruby SAML Identity Provider, best used with Rails (though not required)

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sidekiq

Simple, efficient background processing for Ruby

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sidekiq-failures

Keep track of Sidekiq failed jobs

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timber-ruby

🌲 Great Ruby logging made easy.

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two_factor_authentication

Two factor authentication extension for Devise

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Virtual-Voice-Assistant

Virtual Voice Assistant is a project that utilizes machine learning and natural language processing to enable users to control their devices using voice commands. Technologies used include TensorFlow, Keras, various Python libraries and RESTful APIs.

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