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Hiya,

I'm a Platform Engineer and Researcher with a flair for Cloud and Networks technology from a Solutions Architecture and Cyber Security perspective. I have worked across AWS, GCP, and a bit of Azure using automation tools like Terraform, Ansible, Shell Scripting, Python, and Java (a bit of at an Enterprise level), and am often found tinkering with new tech.

To get a better perspective of my current work experience, please have a look at my LinkedIn profile: www.linkedin.com/in/rahul-sharma-6a57146b

To get a better perspective of my current research outcomes, please have a look at my Google Scholar profile: https://scholar.google.com/citations?user=LXYkpWwAAAAJ&hl=en

Rahul Sharma's Projects

istio icon istio

Connect, secure, control, and observe services.

microsoft-data-science-student-challenge-hackathon-2016 icon microsoft-data-science-student-challenge-hackathon-2016

This involves the analysis of a Victorian government dataset to classify using a machine learning algorithm from AzureML to find some interesting information. Following which, I will visualize it using the Microsoft Power BI Tool.

mpi-io-spartan-cluster icon mpi-io-spartan-cluster

This is a Python script to perform a word count of a 10 GB file full of tweets stored on the University of Melbourne's Hybrid cluster system - SPARTAN, using multiple cores and nodes. This program facilitates this process through the functionality of parallel read that MPI-IO provides. The job is submitted onto the cluster using Slurm.

opendht icon opendht

A C++11 Distributed Hash Table implementation

realestate-scraping-and-analysis icon realestate-scraping-and-analysis

The following scripts scrape data from a Realestate Website and stores it in a NoSQL Database (CouchDB) following which the data is analysed to find interesting insights into the stored data.

ruby-on-rails-news-articles-digest icon ruby-on-rails-news-articles-digest

This application is a news articles digest with scrapes news articles from multiple news websites and stores the articles in a MySQLite DB. The steps required to run this application are as follows: a. bundle install b. rake db:create c. rake db:migrate d. rails s

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