Faraz Foroughi

Faraz Foroughi

Software Engineer

About me

Experienced CTO with a proven track record in leading large-scale projects and driving technological innovation. Proficient in Java, Node.js, PHP, JavaScript, and Mobile Application Development. Passionate about leveraging Artificial Intelligence to solve complex problems. Holds a Master’s degree in Artificial Intelligence from Sharif University of Technology.

Work Experience
Blockchain Developer
MUON Network

2023 - 2024

As a Blockchain Developer at MUON Project, I have had the privilege to work in a cutting-edge and dynamic environment dedicated to revolutionizing the world of decentralized oracle networks.
MUON is a stateless decentralized oracle network that specializes in fulfilling data requests from any source, bridging the gap between on-chain and off-chain data.
In my role, I have played a crucial part in advancing the project's mission and contributing to its technical excellence.
I served as a core developer at MUON Project, specializing in Node.js. I added new features, performed debugging and issue resolution, and integrated blockchain solutions. I prepared documentation for MUON core and reviewd potential security weak points.
My collaborative efforts streamlined project development, and I remained committed to continuous learning to stay updated with evolving blockchain trends, contributing to the project's growth and success.

CTO
digidex.ir

2022 - 2023

At DigiDex we provide tools and solutions for anyone that is in crypto currency space.
My role at DigiDex was development and management of developers.
We have developed a payment gateway that works with different crypto currencies, any business that wants to get paid by crypto can sign up and use our gateway.
Another tool that we have developed at Digidex is a decentralized exchange, using this tool users can swap their coins easily.
Also we developed a trading assistant robot that uses AI to predict trend of the market.
We also developed a social trading platform where traders can post their trades for everyone to see. When the price reaches the take profit (TP) or stop loss (SL) of a trade, the system automatically grades the trade and assigns a score to the trader. Users can find and follow top traders based on their scores. In the future, we plan to evolve this platform into a copy trading platform.

Co-Founder & CTO
letsgouni.com

2020 - Present

Letsgouni.com provides consultation and services to students who want to study abroad. We helped more than thousands of students to study abroad and follow their dreams. The website is the first of this kind in Iran and we try to improve our services by getting inspiration from top market competitors around the world.
Currently all of the process is online so the operation team, support team can work remotely and the costumers don't really need to come to a place which is important during the pandemic.
We managed to sign contracts with different universities around the world which made our services unique in Iran.

CTO
trip.ir

2015 - 2020

Trip.ir is an Iranian online travel booking website, offering flights, hotel bookings, vacation packages and other travel services.
launched at 2016 with domain name travolna.ir
later we raised more fund from travelstart.com and changed our domain to travelstart.ir in 2nd half of 2017 we raised 3rd round of major fund and with new founders our domain changed to trip.ir.
currently trip.ir is one of major players in market and its growing fast more than 14 flight providers are integrated in trip.ir including IATI, Parto, Mystifly and multiple providers for hotel booking.
we're using state of the art technologies like vuejs with server side rendering and nodejs as our backend. Also developed android and ios app using react native.
in our website we have great concerns about ux, we're constantly monitoring our users behaviour to meet their needs. We use AI to give smart suggestions when prices change to users based on their sessions on our website.
also we developed our backend so that minimum number of support operators can operate the website.

Co-Founder & CTO
appsaz.ir

2015 - 2020

appsaz.ir is an online platform that regular users to make mobile applications.
Our goal at appsaz is to improve process of making mobile applications easy and quick, as much as possible.
now appsaz is most successful online platforms for generating applications and its top search result in google with major keywords like "build application" , "android application" (in farsi).

Co-Founder & Game Developer
Nouranium.com

2014 - 2018

Development of soccer management game for mobile phones (Football Fantasy) one of the top selling games and the most rated mobile sports game in Iran.
we achieved +300,000 active users with rating of 4.8 and +100,000 ratings.
Later in 2022 on we expanded our team and entered hyper-casual gaming space. We're still exploring posibilities in game development environment.

Mobile App Developer
Green Bird Studio

2014 - 2015

Development of the most successful Persian Sports app (yaazdah), the official application of Iran's National Soccer Team
Development of the official website of the Iran's National Soccer team (http://www.teammelli.ir)

Key Skills
Programming Languages:
JavaScript
TypeScript
PHP
JAVA

Frameworks and Libraries:
NodeJs
ExpressJs
VueJs
ReactJs
Laravel

Databases:
MySql
MongoDB
Redis

Mobile Development:
Web Application
React Native
Ionic Framework
Native Android

Web Development:
HTML5
CSS3
JQuery
Wordpress
UI/UX Design

Blockchain Technologies:
Solidity
Ethereum
Oracles
Blockchain APIs

AI and Machine Learning:
Neural Networks
NLP
Computer Vision
Matlab
OpenCV

Game Development:
Unity
Blender
Game AI

Knowledge and experience in Artificial Intelligence field e.g. Speech Processing, Machine Learning, Machine Vision, Signal Processing, Neural Network, Natural Language Processing and specially Image Processing.


Experience in different fields of game development e.g. AI, UI, Game Play Design.

Education
Master of Science

2011 - 2013

Artificial Intelligence
Sharif University of Technology - Tehran

Focus: Machine Learning, Image Processing, Neural Networks
Thesis: Facial motion capture system using a single camera and transferring facial movements to a 3D graphical model.