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
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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 -
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Built a real-time facial recognition system using Haar Cascade and OpenCV, enabling accurate identification. -
Heart Disease Prediction -
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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 -
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Created a fully functional web app for quiz games using VueJS and OpenTDB API, providing an interactive user experience. -
React Blog -
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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) -
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Collaborated in designing a job dashboard for a hackathon, implementing responsive design using SCSS and integrating with backend APIs.
Certifications
- Certified Course in Blockchain Technology - NIELIT, Imphal - View Certification
- Machine Learning Specialization - Coursera - View Certification
- Mathematics for Machine Learning - Coursera - View Certification
- Certified Course in Linux Server Administration - NIELIT - View Certification
- Young Career Edge Professional - TCS iON - View Certification