Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras. Used optimization techniques such as regularization and dropout to generalize the network for driving on multiple tracks.

2018 Lenovo AI Lab Summer Intern

Predict the price of car based on features like (kms driven , owner , transmission type , engine , ex show room price etc.)

End to end machine learning project for predicting heart disease

NodeJS End to end encryption

Figuring out when to book the cheapest flights is never easy. From the best day to book flights, to other cheap flight travel hacks, MDS (Maharana Data Science) team has now introduced price prediction on this app to help you find the ultimate cheap flights. This price prediction app has functions where you can search the cheapest day in a month

Source code of main production Dira server cluster

This project utilizes cutting-edge MLOps practices, integrating CI/CD pipelines, DVC, and MLflow to streamline development, testing, and deployment for deep learning models on chest CT images.

🔨 Test suite for Asciidoctor backends

🍴 Starter with Cucumber.js

An end-to-end example of InfraBlocks, by provisioning a Consul cluster.

Implementation of a test-runner for end-to-end tests of cloud-native applications using Gherkin features.

some papers about automatic speech recognition

An end-to-end example of InfraBlocks, by provisioning an OpenVPN cluster.

A tester repository to execute each Monorepo Utility 🧱

Practical Test Pyramid with Go, concept by Ham Vocke

An end-to-end machine learning project, with a goal to predict car price based on several predictors using regression.

An end-to-end Hybrid Learning Model built using CNN+LSTM layers to detect covid-19 from Chest X-ray images. Comparative study has been performed along with modified CNN architectures of transfer learning models : Xception, MobileNet and VGG19. An end-trend web based application was developed using flask framework and was hosted using Heroku.