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RaghavK16/README.md
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Welcome To My GitHub Profile !


Raghav Khullar Typer


  • 🙌 I'm currently open to: Software Development Engineer in Test (SDET, Automation, CI/CD) roles



Coder

  • 🔭 I’m currently working on: Java | Python | Selenium | TestNG | Maven | Rest Assured | TeamCity

  • 🌱 I’m currently learning: Automation | SQL | Java | Python | AWS | Playwright

eatsleepcode
  • 👯 I’m looking to collaborate on: Developing new and intriguing open-source projects, with the community, for the community

  • 💬 Ask me about: Science & Technology | Technical Content Writing | Music | Reading | History

  • 🤓 Active User at: GitHub | LinkedIn

  • 📫 How to reach me:

Raghav Khullar
  • 😄 Pronouns: He/Him

  • ⚡ Fun Facts:

    • Besides programming, I've been a Technical Content Writer. I'm a Melophile for life and love to cook for my friends and family when I'm free.

    • You know you're a programmer when you spend a day to find the problem, and then fix it with one line of code.

    • If you're still reading, why not follow me ?? Let's Connect !!

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  1. AmazonAutomation AmazonAutomation Public

    🔍 Automates Amazon.com product search and add-to-cart functionality using Selenium WebDriver, TestNG, and Page Object Model on the LambdaTest cloud grid. Built in Java with remote execution on macO…

    Java

  2. RaghavK16.github.io RaghavK16.github.io Public

    Single-Page Personal Website built mainly using HTML5, CSS3, Bootstrap and JavaScript (Vanilla).

    HTML 4

  3. ElectrRec ElectrRec Public

    A minimalistic and light-weight screen-recorder I built on Electron, using HTML, CSS and JS (vanilla).

    JavaScript 3 1

  4. COVID19-Eco-Impact COVID19-Eco-Impact Public

    A minimal Data Visualization project, to assess and visualize the economical effects of covid on the world, especially India.

    Jupyter Notebook 2

  5. Web_App_MERN Web_App_MERN Public

    Fully-functional E-Commerce Web Application using MERN Stack.

    JavaScript 1

  6. ML_for_IDS ML_for_IDS Public

    The project involves training supervised machine learning models to create an Intrusion Detection System, with > 90% accuracy.

    Jupyter Notebook 1 1