@0xbeyond

Manish Shivabhakti

@0xbeyond

ML Coordinator @ Kathmandu University Open Source Community(KUOSC) | IOT | Full Stack Developer (MERN) | AI/ML Enthusiast | Computer Engineering Student @ Kathmandu University

ML Coordinator @ Kathmandu University Open Source Community(KUOSC) | IOT | Full Stack Developer (MERN) | AI/ML Enthusiast | Computer Engineering Student @ Kathmandu University

Skill iconPython
Skill iconRust
Skill iconJavaScript
Skill iconTypeScript
Machine Learning

Kathmandu, Nepal

Hi! I am Manish Shivabhakti, a Computer Engineering Student in my Junior year at Kathmandu University. Currently, I am a Machine Learning Coordinator at Kathmandu University Open Source Community, under Kathmandu Computer Club.

My preferred languages are C, C++, Typescript, Rust, and Python. My skills include Full Stack Development using MERN (MongoDB, Express, React, Nodejs) Stack, Machine Learning using TensorFlow, IOT using ESP32 microcontroller, and App Development using React Native, and currently, I am working in Web3 projects as well.

I love working under pressure and building solutions within the given time frame, that's why I participate in hackathons conducted around me whenever possible.

Currently, I am working on several projects. Some of the mentionable projects are:

  1. Lifeline, an elderly health care toolkit with a pill dispenser and wristband, which is well-connected with the mobile application, built using ESP32, React Native, other hardware like MPU6050, RF tag, and reader, stepper motors, GSM and GPS module.
    Github link: https://github.com/the-idealism/lifeline

  2. Learnr, an online learning platform, for self-learners, which is currently in development. This web app is created to empower the self-learners with a roadmap course recommendations and a discussion forum. This was built using, MERN stack, and TensorFlow for the course recommendation
    Github link: https://github.com/orgs/LearnrNetwork/repositories

  3. Other projects that I have done as assignments semester projects are:
    a. Sentiment Analysis (TfidfVectorizer and Multinominal Naive Bayes classifier)
    b. Fashion Apparel Classification (CNN with Keras )
    c. Content Management System (MERN Stack)
    d. 16-bit computer (in Logisim simulator, as the fulfillment of Computer Organization and Architecture mini-project)
    e. Sign-O (Sign language translator using LSTM, for KU hackfest 2022)

Github profile: https://github.com/TheManysh