Picsart

A photo and video editing app and website. The back end consists of both monolith and microservice architecture based on Express.js technologies using dependency injection, MVC pattern, and REST API. For the database, a non-relational Mongo database is used with the help of Mongoose ORM and replication. Also, for event publishing and key-value storage, Redis pub/sub and Kafka are used. For payments and subscriptions, external services with monthly and yearly subscription handling were implemented. We have Apple, Android, and WeChat payments integrated on the mobile end of things along with an external job for renewals and order state change tracking. On the desktop web side, PayPal, Adyen, Stripe, and Docomo are integrated with the support of one-time payments and renewal using jobs. Analytics are incorporated that fire events into Appsflyer, Braze, FB events, and other services.

SABX

SABX is a B2B platform with role access-based management and permission control developed on Node.js technologies. I was a back-end developer working from the begging till the platform's successful launch and real user onboarding. I was developing REST APIs on Koa with Passport user authentication. For the database, we used PostgreSQL with the support of Sequelize ORM and Redis for key-value storing. For file management, server, in-app, and push notifications, AWS services were used, such as S3 and SNS combined with Firebase for mobile side integration. For real-time website notifications, Socket.IO was used. Also, we were using mail listeners and mail sending services for in-time notification such as SendGrid. For deployment and multi-container running we were using Docker Compose. On the payment side, for one-time payments, I integrated PayPal and Stripe, on which I have a published article on Medium.

Varda

I was a web product creator for agricultural data access and sharing purposes. As a software engineer, I was in charge of developing and maintaining the website server. The website uses TypeScript, TypeORM technologies, and Auth0 for authorization and authentication flows. As a back-end developer, I created a set of Restful APIs responsible for returning large amounts of soil data from PostgresSQL databases. To handle the big data sets, I used a data pipeline to stream and validate the data via Kafka streams before storing it in Redshift for further processing.