Robert Gevorgyan

Small browser-based simulations of physical phenomena such as acceleration and gravitational forces. The project included two sub-projects:
1. Determine if the car can travel past the green street light in time or if the car should decrease the speed. Calculate the acceleration to stop exactly at the traffic light.
2. Simulate planetary motion where the center of the screen has the strongest gravitational pull.

I implemented both of those in a browser using browser animations, React, and HTML5 Canvas.

A React Native mobile game of charades. The project used React Native and read the gyroscope data to decide if the answer is correct (tilt forward) or incorrect (tilt backward). The app timed users and counted the number of right answers at the end. It included several topics for playing and generated random words relating to the topic.

Implemented standard and stochastic gradient descent algorithms in the browser to showcase the speed and performance differences of each algorithm. Users could choose the point of the 3D space where the minimum would be. The algorithms would start at some point and try to go to the minimum using the according gradient descent algorithm.

A React/Node.js application we built as an experiment for our internal hackerspace usage. The chat had an IBM Watson connection and used WebSockets for communication. The chat also had message editing and terminal-style history storage.

A web-based app that lets users create and share card-based notes of the classes, collaborate and work on those notes, and create a better way to prepare for exams. It allows using and contributing to the notes generated by other students.

This was my capstone project for my bachelor's degree. I studied and worked with quantum computers such as IBM's Qiskit and DWave's quantum annealers. As my capstone, I wrote a Python app using DWave's quantum annealers to generate an optimized traffic flow for any number of cars given all the roads.

A React and Node.js app for creating, editing, deleting, and updating tasks, as well as adding tasks for other users as admin, etc. It implements authentication using JWT. The database is PostgreSQL with TypeORM as an ORM service. It also uses Express with middleware and has clean and elegant back-end and front-end solutions.

I worked on the implementation of functional pattern matching that behaves in a syntax like in OCaml. The technologies used were TypeScript and JavaScript. There is also an article in my blog and medium about the development process.