Anuj Middha

A web and mobile-based application for AI-assisted, crowd-sourced data annotation. The system was self-learning and improving with minimal human intervention. I worked as the technical lead and architect for the back end (Ruby on Rails) and Android applications. I also coordinated with the AI team to design the interface with AI models and training and testing workflows.

A Rails application for managing data collection campaigns and agents. The application supported over 40,000 concurrent agents spread across multiple calling centers with multiple languages. Business teams could create campaigns based on multiple filters and see the results in real time.

A real-time quizzing application built with Elixir and Phoenix on the back end and Flutter on the front end. It featured rooms with quizzes on different topics that players could join and leave at will. The rooms also had voice and text chat for players. Players could also create private rooms for playing within their groups.

We built multiple gamification strategies into the application, including experience points, coins, and boosts.

An Elixir and Phoenix-based application for teachers to create courses and host live interactive classes with their students. I designed and built the back end and web front end for the app.

The app enables live classes with video and audio for the teacher and students, along with file sharing, screen sharing, whiteboard, and polls. The app extensively leverages Phoenix LiveView for the web front end, and sockets and channels for the mobile apps. The web front end is designed with Tailwind CSS.

The app uses GenServers and Supervision Trees to monitor and manage live classes and broadcast events to the participants. The video and audio communication are built over WebRTC.