Varnit M.

Software engineer & Web developer

Email:
varnitmittal77@gmail.com
Based:
New Delhi, India

Hello World_

I am a CSE student(2017-2021) of Guru Gobind Singh Indraprastha University (GGSIPU), New Delhi.

My coding journey began with C++, which helped me grasp fundamental concepts of programming. Web Dev was next. Few months after that, I was introduced to the world of ML/AI. I'm still in awe!!
I'm fascinated by Deep Learning and Computer Vision and the fusion of the two.

Download CV

What I'm good at_

Web Development

html5, CSS3, Bootstrap

javascript (ES6)

WebApp Dev (MERN stack)

MongoDB

Express

React

Node

Programming Languages

C++

Python

Data Science & Machine Learning

Data Analysis

Data Visualization

Scikit-Learn

NLTK

Deep Learning

CNN

RNN

Keras

Pytorch

Other Skills

OpenCV

Flask API




My projects_

project-img

Image Objects Detection PWA

Recognizes about 80 daily-life objects like person, bike, bags, couch, plants, etc. from images using deep learning model trained on COCO dataset.
Entire frontend is responsive and built with React.
The images are processed on server-side and sent back as API response.
The API is built with Flask served by Gunicorn WSGI server and deployed to Heroku.

Used stack:

  • Keras
  • Neural Networks
  • Flask
  • React
objectdetector77.netlify.com
project-img

Aristic Style Transfer (PyTorch)

Simple PyTorch code for artistic style transfer in images using pretrained VGG-19 convolution network (as feature extractor).

Used stack:

  • PyTorch
  • Neural Networks
Github Repo
project-img

Face Detection in video files

Simple OpenCV code to detect faces and eyes in video streams with the help of Haar Cascades. The processed video is saved as an avi video file. The code is meant for processing video files, but with some minor changes, it can be used to detect faces (and eyes) in live video streams and/or images.

Used stack:

  • Python
  • OpenCV
Github Repo
project-img

Valour: User Authentication & Dashboard Web App

Minimal full-stack MERN web application with user authentication and interactive dashboard, powered by highly secure MongoDB database, with dual encryption of users' sensitive data like passwords. Entire front end is built on React and is cross-platform and responsive across a variety of devices.

The purpose of this project was to build a PWA that would act as boilerplate for full-stack developers.

Used stack:

  • Mongo
  • Express
  • Node
  • React
  • Bootstrap
valour77.herokuapp.com
project-img

Weather PWA (React)

OpenWeatherMap and Pexels API based Weather PWA. It's built on react with bootstrap. The bakground image is dynamically fetched from pexels, based on the weather conditions of the place searched.

Used stack:

  • React
  • Bootstrap
  • API
weather77.netlify.com