Creating an advanced automation microservice using Java Spring Boot, Camel, and JUnit.The microservice automates resetting credentials and certificates for deployed applications.

Developed a collection of Lit-based components with a focus on reusability, designed to interface with TestGrid's API (TestGrid is a Google Cloud Platform project which is a highly-configurable, interactive dashboard for viewing test results in a grid) and showcase pertinent data in a visually compelling manner.Crafted comprehensive testing suites utilizing Jasmine and Storybook frameworks to ensure robust and reliable performance of the previously developed Lit-based reusable components, thereby enhancing their overall quality and dependability.Optimized the protocol buffers in API structure, reducing page load time by 30%, and introduced a new API endpoint to provide developers with crucial information, enhancing debugging capabilities.

Performed a comprehensive analysis of cryptographic algorithms implemented in Rust, evaluated the codebase for adherence to industry standards and best practices, and offered valuable recommendations.Acquired knowledge and familiarity with Lattice Cryptography, a cutting-edge area of cryptography that utilizes mathematical lattices as the basis for encryption and security mechanisms, gaining valuable insights and exposure into this emerging field.

Implemented Knockable rooms in the Element Web (Knocking is the feature that allows users to send a request to join a space or room.)Created Cypress tests and unit tests, ensuring high standards of quality and dependability for the organization.Played a pivotal role in improving the user experience by identifying and fixing minor UI bugs.Created new GitHub Actions that were widely adopted by the organization, averaging 50+ uses per week.

Engineered a robust and secure JWT Authentication system, expertly integrating it with the REST API of Specter-Desktop to provide enhanced protection and safeguarding of sensitive data and user information.Increased the security of the REST API by adding a new layer of authentication and made the API more scalable.Adopted a test-driven development approach and skillfully crafted Pytests to ensure the reliable and efficient functioning of the software, simultaneously updated the documentation to enhance the usability and accessibility of the API.

A deep learning algorithm was implemented to detect Covid-19 (coronavirus) with X-Ray images. ReLU, max pooling, flattening layer and a dropout layer of 20% dropout rate form the basis of the model.The model achieved an overwhelming accuracy of 97%.