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Innovating
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Innovating
54 followers · 36 following
  • RWTH Aachen University
  • Aachen, Germany

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Achievements

Achievement: StarstruckAchievement: QuickdrawAchievement: Pull Sharkx2

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tejaspradhan/README.md

Header

Hi I'm Tejas! 👋


I am a passionate technologist with a diverse set of experiences ranging from solving highly innovative technology problems in the lab to conceptualizing them in production-grade systems.


🎓 Currently, I am furthering my expertise through my Master’s degree in Software Systems Engineering at RWTH Aachen University, where I am delving deeper into the world of distributed systems, software performance and AI-driven architectures.

Having worked across multiple domains in software engineering—including Data, Backend, Machine Learning, and Computer Science Research—I have developed a keen interest in designing and developing highly performant intelligent systems.

In the age of distributed computing, I am particularly fascinated by how we can build scalable and efficient AI systems. Furthermore, I am also particularly interested in Explainability and Reasoning aspects of AI models.


Skills 👨‍🔬

Programming Languages

            


Tools and Technologies

                              


 GitHub Stats 📊

Let's Connect 🧑‍🤝‍🧑

    

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  1. Personality-Trait-Analysis-using-NLP-and-Deep-Learning Personality-Trait-Analysis-using-NLP-and-Deep-Learning Public

    This project classifies a person's personality into 1 out of 16 traits as per the Myers-Briggs Personality Traits using Natural Language Processing and different multi-class as well as multi-label …

    Jupyter Notebook 6 2

  2. SafeSpeech.AI SafeSpeech.AI Public

    This is a web application built for detecting hateful content in social media posts. The application uses a Multi-modal AI based classification mechanism to detect offensive content in images, text…

    CSS 1

  3. End-To-End-Encrypted-Secure-Chat-Application End-To-End-Encrypted-Secure-Chat-Application Public

    This is a secure chat room application built using node.js and socket.io.

    JavaScript 27 11

  4. Deep-Learning-For-Computer-Vision Deep-Learning-For-Computer-Vision Public

    A collection of my projects where neural network based approaches have been applied to computer vision problems like Image Classification

    Jupyter Notebook 1

  5. Graph-Neural-Networks Graph-Neural-Networks Public

    This is a collection of all my learning material and implementations of Graph Neural Nets

    Jupyter Notebook 3 1

  6. GNNPapers GNNPapers Public

    Forked from thunlp/GNNPapers

    Must-read papers on graph neural networks (GNN)

    2