While working in Veevo Tech I worked on QueryQ that is an enterprise-grade chat application that provides a secure communication platform for businesses of all sizes. QueryQ integrates messages from popular platforms such as WhatsApp, Facebook, and Instagram, enabling efficient communication management for organizations.

While working in Developers Den LLC I worked on Kiara docs that is an enterprise-grade contract application whose aim is to revolutize the contract management process by providing a user-friendly platform for creating, managing, and executing contracts.

A full-stack eCommerce application built with Next.js, Node.js, Tailwind, and MongoDB involves implementing three main functionalities: Product Addition, Product Selection, and Checkout

Developed an authentication microservice using Node.js, Express.js, and MongoDB. The service includes features such as user registration, login, and password reset. Integrated JWT for secure authentication and authorization, and implemented password hashing and salting to ensure secure storage of user data. Features include rate limiting to prevent abuse, email verification for account activation, and password reset functionality using JWT. These measures ensure a secure and reliable authentication process for users.

Developed a Machine Learning model that can detect the gender and age of a person in real time. The model is trained on a dataset of images of people with their age and gender labels. The model is integrated with an application that provides personalized recommended Ads based on the user's age and gender.

Masters Research Project whose goal is to first build a Machine Model with ability to classsify waste into different categories. Then, build a web application that will allow users to upload images of waste and get a classification of the waste with instructions on how to dispose of it properly.