• Developed an Electron desktop application that allows developers to dynamically design higher-order React components, visualize the hierarchy of the parent-child relationships, and export React/Typescript code

• Harnessed Redux infrastructure to ensure proper storage of the application state capable of handling dynamic user configurations describing desired structure of their application’s React architecture and to allow real-time debugging

• Designed Jest and Enzyme unit tests to decrease unexpected outcomes from UI edge cases, ensure proper functionality, and therefore expedite future additions to the codebase

• Utilized continuous integration with TravisCI, enforcing codebase consistency among the team, and mitigating regression bugs as the app scales with open-source contributions by testing continuously in the development phase

• Incorporated Typescript by designing interfaces that match the expected data from the Redux store, improving maintainability and catching errors during compile time

• Created React Native mode which allowed the user to design and prototype mobile, cross-platform applications

• Reorganized the file structure and added documentation to the existing code base in order to ensure better workflow and to streamline further improvements to the functionality of the application

• Implemented Ace Editor with a custom algorithm in order to dynamically render React/Typescript code templates that can later be edited and exported by the user

• Utilized React Hooks with React Router to streamline state management within React components and minimize requests to the server with client-side routing, improving the user experience by providing intuitive and dynamic updates of content in a SPA.

• Leveraged a SQL database to model one-to-many relationships between various user information and to properly match them with other users with similar interests

• Employed WebSockets to customize instances of event emitters and establish real-time, bidirectional connections between the client and the server in order to implement a live chat functionality

• Leveraged the COBRA Toolbox with MATLAB and Cobrapy for Python to aid the creation of the novel tissue specific metabolic model for C. elegans

• Developed dynamic parsing algorithms with Python and MATLAB that utilized multiple RESTful APIs in order to properly balance chemical reactions to be used in the tissue specific models.

• Used MATLAB for whole genome metabolic model reconciliation to create a consensus metabolic model for C. elegans