WELCOME TO MY PORTFOLIO

A showcase of my projects and abilities

FACE MASK DETECTION

In this project, I trained a neural network using Mobilenet as backbone to determine whether a person is wearing a face mask as per covid guidelines or not. The average accuracy of the model was 95%.

END-TO-END MLOPS

This is an end-to-end MLOPS pipeline from data pre-processing to deploying the model on AWS Beanstalk. The model predicts the score of the student based on some input parameters.
Multiple models and hyper-parameters were used out of which the best performing was Linear Regression.

BLOG - Simulation and Synthetic data

As technology continues to evolve at an unprecedented rate, 3D scenes and robotics are emerging as some of the most exciting and promising areas of innovation.
This blog covers how we can use Synthetic data and reduce production time for visual perception models.