Damodar Dahal

A web app to list restaurants and allow users to review them. Featuring a progressive React web app, a React-Admin panel along with a RESTful Django API.

Features:
Test-driven development
* Responsive, pixel-perfect Material UI design
* RESTful API supporting pagination
* Role-based user management system (with JWT for authentication)
* React Hooks
* TypeScript types and interfaces
* Swagger API
* Unit tests using jest and @testing-library/react
* Continous Integration using CircleCI
* Postman collection (see GitHub)

A low level (OpenGL/C++) platform-agnostic rendering engine which takes instructions on a JSON file to render waves, mathematical functions, text, images, and play music. Aimed to make the user happy by reading emotions from their faces (via third-party API) and develop a machine learning feedback pipeline to increase their happiness score.

A MERN stack web app used to host early works of John Ruskin (1819-1900), a British art critic, philosopher, and scientist. I developed a template engine using XML and XSLT to allow non-coders to write commentary for more than 600 of Ruskin's works. The XML tags are indexed in MongoDB (approximately 10,000 keywords) to power a custom search engine.

The project uses server-side rendering (SSR) with redux for search engine optimization. There is a full-duplex communication between client and server using socket.io while using redux for managing the state of both client and server. Webpack is used to bundle SCSS and other file types.

The web app is run on a CentOS server using pm2. Nginx is used as a web server (with the node app as a reverse proxy) to maximize web performance.

A weather balloon payload for NASA Columbia Scientific Ballooning Facility in Palestine, Texas that collects atmospheric data (temperature, pressure, and humidity) using sensors. I was the software lead in a team of five engineers and I overlooked the data storage mechanism by using long-polling to collect data points each of 8 bytes in an extremely storage sensitive environment.

The payload was flown in a weather balloon up to 100,000 feet in altitude from Texas on May 15, 2019, to measure atmospheric data of Dallas, Texas. The data was used to measure CAPE, a quantity representing thunderstorm potentials.