Hi, I'm Mrinal! I'm a Full Stack developer at Inovestor, Montréal with an experience in cross-platform Mobile and Web application development.
My skills majorly include Javascript, HTML5 & CSS3 along with hands-on experience in popular Javascript-based library and frameworks such as React, NextJS and Angular. I like well-designed products and crafting apps that are visually appealing.
In addition, I have worked with DotNet, NodeJS and ExpressJS in building a fast, scalable, feature-rich RESTful API (features like filters, sorts, pagination etc) and CRUD operations with SQL Server, MongoDB and Mongoose.
I am also an AWS certified Solutions Architect and Cloud Practitioner.
JavaScript | DotNet | AWS |
ReactJS | NodeJS | Java |
NextJS | ExpressJS | Azure |
Angular | MongoDB | Python |
HTML5 | Mongoose | PySpark |
CSS3 | MongoDB | PyTorch |
Sass | Ionic | Cordova |
An open wallet of words that collect words and their meaning via neuomorphic mobile and web responsive UI made using HTML5, CSS3, and JavaScript and stores them in the database powered by MongoDB, NodeJS, ExpressJS and Mongoose.
check out the repo
A mini-project which demonstrates usage of ReactJS and CSS3 that can act as a plugin to any react project. A simple work-in-progess web and mobile responsive comment section.
check out the repo
Created and trained a face mask detection model to identify no-mask, cloth, surgical, FFP2 and FFP2-valve masks using Python and Convolutionl Neural Network implemented using PyTorch. For further improvement detected and eliminated gender and age bias and evaluated the model using K-fold validation.
check out the repo
Created a personalized anime recommendation system using Matrix Factorization(ALS) collaborative filtering in PySpark. The model recommends new Top 5 anime for users based on their ratings for other anime. RMSE was used for evaluation.
check out the notebook
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