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Welcome to My GitHub Profile πŸ‘‹

About Me

Hello there! πŸ‘¨β€πŸ’» I'm Mukund, an AI and Machine Learning enthusiast, currently spearheading innovative developments at Telesoft. With a solid foundation laid during my graduation from NIT Patna, where I achieved a commendable CGPA of 8.35, I've embarked on an exhilarating journey into the realms of Natural Language Processing (NLP) and Natural Language Understanding (NLU).

Interests and Expertise

My primary interests lie in the fascinating domains of:

  • Machine Learning Engineering πŸ€–
  • Artificial Intelligence 🧠
  • Software DevelopmentπŸš€

Experience

AI ML developer at Telesoft

  • Developed python app with FastAPI and VoIP to handle incoming calls, sending them to a server for processing, and responding with AI-generated replies
  • Implemented Automatic speech Recognition, intent detection, slot filling and Text to speech for incoming voice call and reply with AI generated audio reply.

Projects

  • Description: Used comditional GAN for data augmentation to reduce biasness of the dataset.
  • Technologies Used: Python, NLP, Tensorflow, GloVe, CNN, Numpy.
  • Description: Solve sudoku by scanning the image of sudoku.
  • Technologies Used: Flask, CNN, CV2, Computer vision, HTML, CSS, JavaScript, Tensorflow.
  • Description: A user-friendly MERN-stack application that enables individuals to easily track and manage their daily fitness routines. Features include logging and tracking of both cardio and resistance exercises, viewing of workout history, and ability to delete exercises.
  • Technologies Used: Mongoose, Express.js, React.js, Node.js, JWT Authentication

Feel free to explore my repositories for a closer look at these projects and more!

My Journey

Academic Journey

I have successfully navigated through various computer science and engineering courses, gaining a strong foundation in both theoretical concepts and practical applications. My academic journey has equipped me with the skills to tackle complex problems and devise innovative solutions.

Skills

  • Soft Skills : Natural language processing, Natural language understanding, Transformers, Large language model, Artifitial intelligence, Machine learning, Web development, Computer vision, Audio processing.
  • Programming Languages : Python, Java, C++.
  • Web Technologies : HTML, CSS, JavaScript, React, Node JS.
  • Machine Libraries: TensorFlow, PyTorch, Sci-kit learn.
  • Database Management: SQL, MongoDB.

Achievements

  • Earned 4⭐ on codechef and solved more than 500 DSA questions on leetcode.
  • Earned 5⭐ for python, c++ languages and 5⭐ for SQL on hackerrank.

Contact

Feel free to reach out if you have any questions, collaboration opportunities, or just to connect. Let's build something amazing together! πŸš€

Thank you for visiting my GitHub profile! 😊

Mukund 's Projects

bus-reservation-system icon bus-reservation-system

Develop a project to implement a simple bus reservation system where the user can perform tasks like insert bus information, reserve bus seat, show reservation information and show information regarding the buses available. For performing all these operations identify the proper data structure and analyse their time complexity

e-commerce icon e-commerce

Dynamic and user-friendly e-commerce platform designed to provide a seamless shopping experience.

fitness_tracker icon fitness_tracker

The project is designed for recording the personalised plan for cardio and strength exercises.

portfolio icon portfolio

Explore my Academic Showcase and Skills Portfolio, a curated journey through my academic background, skills, and impactful projects. From a visual timeline of my academic achievements to a comprehensive skills overview, and a gallery of noteworthy projects, this portfolio encapsulates my commitment to learning and innovation.

text2text_gan icon text2text_gan

Implemented conditional Generative adversarial networks for data augmentation to remove biases of data-set

yt-video-downloader icon yt-video-downloader

This Python application allows users to download YouTube videos by providing a link and selecting the desired video quality. The app is built using the Pytube library for YouTube video downloading and a custom Tkinter interface for a user-friendly experience.

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