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dhyanid13/README.md

Dhyani's views

Hi , I'm Dhyani Desai


GIF

A passionate Software Engineer 👋

  • 🚀 I'm currently enhancing cloud infrastructure as a Software Engineer at Morgan Stanley.
  • 🌐 Deep diving into Golang, Python backend development, and exploring the latest in cloud technologies.
  • 💻 Working on cutting-edge projects in cloud enablement and data analytics.
  • 🌱 Expanding my knowledge in advanced cloud computing solutions and DevOps practices.
  • 👯 Looking to collaborate with other tech enthusiasts and developers.
  • 📚 Proud author of 3 publications in the field of machine learning, contributing to the advancement of AI technologies.
  • 🥅 2023 Goals: Make significant contributions to cloud computing projects and broaden my expertise in blockchain technology.
  • 💬 Open to sharing insights on cloud technologies, backend development, machine learning, and my research. Feel free to reach out!
  • 🧗 I strive to: Surpass expectations and constantly evolve in the tech landscape.
  • ⚡ Fun fact: Apart from coding, I enjoy classical dance and finding new ways to be creative.

🔧 Technologies & Tools

Python  JavaScript  PHP  Django  Flask  Java  C  C++  Bootstrap  HTML  CSS  JSON  Node.js  Git  GitHub  Markdown  Visual Studio Code  Sublime Text  Android Studio  Jupyter Notebook  Google Colab  Keras  OpenCV  PostgreSQL  Apache Kafka  MySQL  Firebase  Tensorflow  Arduino  Latex 



📈 GitHub Stats



🔗  Connect with me

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Show some  ❤️  by starring some of the repositories!

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  1. Helpify-LSTM-based-approach-for-classifying-mental-health-issues Helpify-LSTM-based-approach-for-classifying-mental-health-issues Public

    Employing NLP techniques to classify Mental Health Issues into a particular categories

    Jupyter Notebook

  2. Object-Detection-and-Text-Recognition-of-Packaged-Foods Object-Detection-and-Text-Recognition-of-Packaged-Foods Public

    Recognising the Ingredients, Packet Name, Veg/Non-veg symbols, Nutrient Information and Expiry date from packaged foods using Deep Learning and Object Detection and Reading them using Tesseract OCR

    Jupyter Notebook

  3. Optimal-ambulance-positioning-with-deep-embedded-clustering Optimal-ambulance-positioning-with-deep-embedded-clustering Public

    AI-driven system to optimize ambulance placement using Deep Embedded Clustering and Cat2Vec. Analyzes real-world accident, road, and weather data to reduce emergency response time and improve publi…

    HTML

  4. Engagement-Detection-on-e-platforms Engagement-Detection-on-e-platforms Public

    An AI-driven system that monitors student attentiveness during online lectures using computer vision. It analyzes facial expressions, eye movement, and head pose to provide real-time insights into …

    Jupyter Notebook