Skip to content
View mantreshkhurana's full-sized avatar
40 followers · 15 following

Achievements

Achievement: StarstruckAchievement: Pull Sharkx2Achievement: Public SponsorAchievement: Galaxy BrainAchievement: YOLOAchievement: Pair Extraordinaire
BetaSend feedback

Achievements

Achievement: StarstruckAchievement: Pull Sharkx2Achievement: Public SponsorAchievement: Galaxy BrainAchievement: YOLOAchievement: Pair Extraordinaire
BetaSend feedback

Highlights

Organizations

@Spyxpo
Block or Report

Block or report mantreshkhurana

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
mantreshkhurana/README.md

Header

I'm Mantresh

Profile Views

I have worked as a full-stack developer with 8+ years of rich experience in the software development life cycle for various industries. My affection for technology started in childhood. I ventured into different operating systems that evolved until I became a lover of the macOS and Unix environment.

I have experience in developing technology solutions for web, mobile, desktop, and embedded systems. One of my favorite challenges is mastering new technologies that deliver cutting-edge solutions, therefore driving innovation in the ever-changing landscape of technology.

  • 📝  You can find my portfolio here.
  • 📚  Check my resume for more info.
  • 🔭  Currently working at Spyxpo.
  • 👨‍🎓  Pursuing my B.Tech in CSE.
  • 📫  You can contact me here.
  • 🌐  Visit my blog for tech articles.
  • 📺  Subscribe to my YouTube channel for videos.
  • 📄  Checkout documentation for my projects.

📊  Github Metrics

Metrics

🛠️  Tools & Frameworks

Tools

These are some of the tools and frameworks that I have worked with. My expertise includes working on web, mobile, desktop, and embedded systems. I have utilized a wide range of technologies, including Python, Rust, C, C++, Java, JavaScript, HTML, CSS, React, React Native, Electron, Node.js, GCP, MongoDB, MySQL, Flutter, Shell Scripting, Git, Docker, UE5, AWS, Unity, Fusion 360, Blender, EAGLE, easyEDA, Arduino, Raspberry Pi, ESP32, ESP8266, STM32, among others.

🔥  Github Streak

GitHub Streak

ℹ️  More Info

Note: My contributions are not limited to the repositories mentioned below. I have been contributing to private repositories as well, which I cannot disclose here. My contributions are for both personal and professional projects where Spyxpo is one of them, I have been working on it for more than 8 years now. Check my resume for more info. One more thing, My legal name is "Mantresh Kumar" but I prefer to use "Mantresh Khurana" as my professional name due to "Khurana" being followed by ancestors for generations.

Pinned

  1. Google-Bard-electron Google-Bard-electron Public

    An unofficial desktop app for Google Bard, supports all desktop platforms including Windows, Linux & macOS.

    JavaScript 88 17

  2. stlvi stlvi Public

    A simple cross-platform easy to use STL Viewer with GUI and CLI options [Work In Progress].

    Rust 11 1

  3. twitter-toxicity-detection-flask twitter-toxicity-detection-flask Public

    This is a simple python program which uses a machine learning model to detect toxicity in tweets, developed in Flask.

    HTML 17 3

  4. app_updater app_updater Public

    App Updater for Flutter Apps, supporting Android, iOS, Window, macOS & Linux. Update them via official App Store or from custom url path.

    C++ 16 1

  5. markdown-worker-python markdown-worker-python Public

    This is a simple markdown parser written in Python. It can read, write and parse markdown files.

    Python 10 2

  6. simple-ml-python-chatbot simple-ml-python-chatbot Public

    This is a simple python chatbot which uses json file to store the data. It uses TF-IDF (Term Frequency-Inverse Document Frequency) vectorizer and a Multinomial Naive Bayes classifier to classify th…

    Python 2 1