Kunal Kushwaha

• Worked on Thanos, a set of components that can be composed into a highly available metric system with unlimited storage capacity, which can be added seamlessly on top of existing Prometheus deployments.
• Implemented features, context & actions to increase observability & control for BlockViewer.

Jest is a JavaScript testing framework designed to ensure correctness of any JavaScript codebase. It allows you to write tests with an approachable, familiar and feature-rich API that gives you results quickly. Jest is well-documented, requires little configuration and can be extended to match your requirements.

Google Summer of Code mentor with JBoss (Red Hat Middleware) for the year 2020 for Quarkus: Improving Gradle support.

Let Bundly do its work, so you can focus on yours. Bundly is a single heaven to find all the information regarding the MLH Fellowship at once place! It lets you take your utility tools, a step further. Designed specifically to enhance the Fellowship experience.
Kye Features:
- Generate Standup Notes in markdown automatically
- Internal discussions at your fingertips using Search Tool
- Receive personalised notifications for your repositories (GitHub) & Discord
- Add… Mehr zeigen

Let Bundly do its work, so you can focus on yours. Bundly is a single heaven to find all the information regarding the MLH Fellowship at once place! It lets you take your utility tools, a step further. Designed specifically to enhance the Fellowship experience.
Kye Features:
- Generate Standup Notes in markdown automatically
- Internal discussions at your fingertips using Search Tool
- Receive personalised notifications for your repositories (GitHub) & Discord
- Add notifications from GitHub to your ToDo list directly
- Quick access the MLH calendar events at one place Weniger anzeigen

In this research, an optimized deep learning method was proposed to explore the possibility and practicality of neural net-work applications in medical imaging. The method was used to achieve the goal of judging common pneumonia and even COVID-19 more effectively. Where, the genetic algorithm was taken advantage to optimize the Dropout module, which is essential in neural networks so as to improve the performance of typical neural network models. The experiment results demonstrate that the… Mehr zeigen

In this research, an optimized deep learning method was proposed to explore the possibility and practicality of neural net-work applications in medical imaging. The method was used to achieve the goal of judging common pneumonia and even COVID-19 more effectively. Where, the genetic algorithm was taken advantage to optimize the Dropout module, which is essential in neural networks so as to improve the performance of typical neural network models. The experiment results demonstrate that the proposed method shows excellent performance and strong practicability in judging pneumonia, and the application of advanced artificial intelligence technology in the field of medical imaging has broad prospects. Weniger anzeigen

During the Orientation Hackathon of the MLH Fellowship, we built this social media platform for people to:
- Share their stories during Quarantine time, helping the community by making them aware of the opportunities available (both during and after lockdown) that they might not be aware of.
- Open-source the projects that they have worked on, be it at Hackathons, School projects, etc. so that other students can collaborate & learn in addition to helping the project grow. This will… Mehr zeigen

During the Orientation Hackathon of the MLH Fellowship, we built this social media platform for people to:
- Share their stories during Quarantine time, helping the community by making them aware of the opportunities available (both during and after lockdown) that they might not be aware of.
- Open-source the projects that they have worked on, be it at Hackathons, School projects, etc. so that other students can collaborate & learn in addition to helping the project grow. This will increase community engagement among students and promote the open source culture.

Tech Used:
- GraphQL
- MongoDB Atlas (GCP)
- Node.js
- Express.js
- React
- react-router-dom
- Semantic UI React
- Apollo Server
- bcryptjs
- JWT Weniger anzeigen

• Adding support in Kubernetes Client for several types of resources : ServiceCatalog TemplateInstance VolumeAttachment CertificateSigningRequest SelfSubjectAccessReview SelfSubjectRulesReview TokenReview ControllerRevision UserInfo AdmissionConfiguration
• Providing test coverage for the following resources: Endpoints PersistentVolumeClaim PersistentVolumes SubjectAccessReview PodPreset HorizontalPodAutoscaler Namespace ResourceQuota
• Upgradation of the test suits from JUnit4 to… Mehr zeigen

• Adding support in Kubernetes Client for several types of resources : ServiceCatalog TemplateInstance VolumeAttachment CertificateSigningRequest SelfSubjectAccessReview SelfSubjectRulesReview TokenReview ControllerRevision UserInfo AdmissionConfiguration
• Providing test coverage for the following resources: Endpoints PersistentVolumeClaim PersistentVolumes SubjectAccessReview PodPreset HorizontalPodAutoscaler Namespace ResourceQuota
• Upgradation of the test suits from JUnit4 to JUnit5
• Adding examples for configuration of various resources in the client Weniger anzeigen