Oken

AI Engineer at Nibiaa Devices

About

I have a passion for coding and believe that technology as well as science with a hint of belief can change the world ever since I embark in my coding and programming journey when I started out in 2014. Since then I've explored different fields and wide range of computer science, starting out with web development, hacking, linux, exploration of the deep/dark web and now I'm brought in to the field of AI captured by the idea of AGI (Artificial General Intelligence) to which I belive that with Aligning AI intelligence with human moral or even more, will bring about enlightment to all of humanity.

Education

Master of Computer Application
NIELIT, Imphal, June 2021 - July 2024

Bachelor of Computer Application
NIELIT, Imphal, Jun 2018 - Jun 2021

Experience

AI Engineer - Nibiaa Devices, Manipur, August 2024 – Present

Summer Internship - NIT, Manipur, May 2024 – July 2024

Data Science and Machine Learning Intern - SKOLAR, Dec 2023 – Feb 2024

Artificial Intelligence Intern - CodSoft, Nov 2023 – Dec 2023

Machine Learning Intern - TechnoHacks EduTech Official, Oct 2023 – Nov 2023

Full Stack Web Developer Intern - NulLClass, Nov 2022 - Jan 2023

Campus Leader Intern - TechLearn.live, Dec 2021 - Jan 2022

Skills & Tools

Python, Numpy, Pandas, Tensorflow, Matplotlib, Google Colab, Scikit-Learn, OpenCV, Git, Github, FastAPI, Flask, MongoDB, SQLite, React, MongoDB, ExpressJS, NodeJS, VueJS, HTML, CSS, JavaScript, Django, Flask

Projects

  • Face2Comic: Pix2Pix cGAN-Based Approach to Cartoonify Human Portraits - View Project
    Developed a generative model that transforms human portraits into cartoon versions using Pix2Pix cGAN, leveraging Python, TensorFlow, and CNN.
  • Image Captioning - View Project
    Created a generative model to generate captions for images using the Flickr8k dataset, achieving 33% accuracy with CNN and Transformer architecture.
  • Facial Recognition and Identification - View Project
    Built a real-time facial recognition system using Haar Cascade and OpenCV, enabling accurate identification.
  • Heart Disease Prediction - View Project
    Developed a logistic regression model achieving 81.96% test accuracy for predicting heart disease using Python, Scikit-learn, and Pandas.
  • Wine Quality Prediction - View Project
    Engineered a Random Forest Classifier that achieved 92.5% test accuracy in predicting wine quality, utilizing Scikit-learn, Pandas, and Matplotlib.
  • StackOverflow Clone - View Project
    Developed a full-stack clone of StackOverflow with user authentication, question posting, commenting, and voting, using MERN Stack, Redux, and Twilio.
  • Quiz App - View Project
    Created a fully functional web app for quiz games using VueJS and OpenTDB API, providing an interactive user experience.
  • React Blog - View Project
    Built a full-stack blog application with user authentication, commenting functionality, and responsive design using MERN Stack.
  • Online Password Management System - View Project
    Developed a secure password management system with user authentication, OTP verification, and encrypted data storage using Python and Django.
  • Developer Job Board (DevHunt) - View Project
    Collaborated in designing a job dashboard for a hackathon, implementing responsive design using SCSS and integrating with backend APIs.

Certifications