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Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

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Krishna-Vamsi-G/README.md

Hey there!

Hello world

I'm Krishna Vamsi!

I am currently pursuing my master's degree in Computer Science at the University of Central Florida.

Experienced Software Engineer specializing in Android development with a passion for enhancing user engagement and app functionality through innovative design and robust backend services.

Outside of work, I'm passionate about Cricket 🏏, cooking 🥘, watching Movies 🎥, exploring space 🌌 and hiking 🥾.

I enjoy connecting with like-minded individuals. Feel free to reach out through any of the platforms listed below! 😊

Contact

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Languages & Tools:

Java Kotlin AWS Docker

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  1. My-Notes My-Notes Public

    An efficient Android note-taking app built with MVVM architecture and Room for seamless note management and a smooth user experience.

    Kotlin

  2. Chatbot-A-Deep-Neural-Network-Model Chatbot-A-Deep-Neural-Network-Model Public

    This publication, presented at an IEEE conference in 2020, unveils a chatbot designed through deep neural networks, advancing human-machine conversations with nuanced understanding and responses.

    Python

  3. Quick-Query Quick-Query Public

    The Quick Query Android app utilizes MVVM architecture, Retrofit, Room, and WorkManager to efficiently fetch, display, and manage country data. It integrates LRU caching to enhance performance and …

    Kotlin

  4. VulnScanner-Injection-Vulnerability-Detection-Tool VulnScanner-Injection-Vulnerability-Detection-Tool Public

    VulnScanner: A Generic python scanner to detect injection vulnerabilities in Web-applications

    Python

  5. NLP-Based-Resume-Classification-and-Ranking NLP-Based-Resume-Classification-and-Ranking Public

    This project applies NLP and machine learning techniques to automate the classification and ranking of resumes, enhancing the efficiency and objectivity of the recruitment process.

    Python