AI Annotation Interface & APIs

• Created several custom Node-Red modules for configuring cameras and communication with onprem tools and cloud APIs.
• Implemented secure API endpoints for detecting motion using Structural Similarity and manipulating images by any of 19 OpenCV filters and all possible validated arguments.
• Built entire front-end annotation tool with zooming, version controls, infinite tag nesting capabilities.
• TypeScripted client-side demo builder to double as a unit testing for reloading randomized training tags and showcase functionality.
• Introduce tools to calculate the range of tag type dimensions to help QA find tagging anomalies.
• Wrote ExpressJS server for managing photo training data and augmented variations hosted on any storage system via Minio.

Workstation Guidance

• Developed workstation guidance system for factories to configure assembly instructions with QA and computer vision assistance, including all Docker files to network and containerize full stack: Express, Mongo, Node-Red, React WebApp.
• Wrote cookie & CSRF secured backend to store and validate both manager configurations, and worker assembly runs with great detail and security protocols.
• Build React interface with modern Context implementation and MUI Styled components.
• Built bi-directional persistent WebSocket connection for constant communication with Node-Red service and FlexibleVision as a whole.

• Built ios and android apps with React Native
• Used `react-native-push-notification` for push notifications
• Built backend with ExpressJS and Mongo, providing both API and KeystoneJS CMS
• Implemented OAuth2 Authentication with OTP logins / password resets
• Wrote push notification service and cronjob to reduce push noticications and processing

• Built React.js application with Keystone.js CMS, MongoDB database and Express server.
• Connected Express API on Heroku with S3 bucket for user file storage
• Connected Mailgun and Nodemail services within application and Heroku control panels for automated emails