Hi! I am ARMAN JAFARNEZHAD

Bio

I'm Arman Jafarnezhad, also known as Junior. I was born in 1998 just after the France World Cup. My childhood was spent with computers, mathematics, and of-course football. In elementary school, I participated in the national robotics competition for the first time and got fifth place and became Iran's representative in the international robotics cup in UAE. When I was 16 I entered Allameh Helli high school which is the heart of Iran's NODET (National Organization for Development of Exceptional Talents). I did many projects there and also got high scores. After four years I got my diploma in mathematics & physics with a score of 19.6/20.

In 2016 I entered Kharazmi University of Tehran in the field of computer science. In the second year of my study, I developed Termustat, an online planning tool that helps students schedule their incoming university semester. Termustat now supports 3 universities, 27 faculties, 27700 students and it has saved over 5000 hours of time. Termustat totally changed the way students & professors plan their academic schedule & it is recommended by the head professor of the department of computer science.

In my senior year, artificial intelligence and machine learning became my main study and also my favorite hobby. I attended many AI-related courses and learned a lot. Courses such as "Deep Artificial Neural Networks" by IPM, "Deep learning" by Andrew NG (Stanford CS professor) on Coursera, "Python" and also "Machine Learning" by Kaggle (a subsidiary of Google Inc). I did some interesting projects in ML, like "Covid-19 Chest X-Ray Classifier" which is a computer vision ML model built with convolutional neural network. Until now I'm still learning & reading more about data science and this is my current work and hobby.

Works

Termustat  for students

An online planning tool to help students schedule their incoming university semester. The first verion of Termustat released in summer 2018, supporting math & computer science faculty of Kharazmi university. After two years of hard work, Termusat now supports 3 universities (Kharazmi-Tehran-Khaje Nasir), 27 faculties, 27700 students and it has +1000 active users. Termustat has saved over 5000 hours of students' time and it totally changed the way students plan their academic schedule. It is recommended by the head professor of the department of computer science.

Termustat AI  for universities

With the power of machine learning and genetic algorithm, Termustat AI was developed to help university departments schedule their course/teacher timetable with minimum conflicts and maximum efficiency. This smart system finds the best timetable possible and saves countless hours of both students and professors time. Not only universities but also colleges, schools and educational institutions can use Termustat AI to solve their timetabling problem.

Covid-19 Chest X-Ray Classifier

Covid-19 pandemic is possibly the worst crisis of 21th century and scientists in countries all around the world tried their best to fight this disaster. Computers and AI are our best weapons to fight Covid-19, therfore I started C19CXC, a machine learning project to classify chest x-rays. C19CXC was trained on hunderds of x-ray images and it has an accuracy of over 91%. C19CXC can help doctors determine whether their patients has Covid-19 or not.

Fouladi Hank  company ltd.

FouladiHank is a successful company in producing lamb and sheep casings in Iran. I had the honor to design and develop their website with a modern and responsive material design.

Kharazmi LMS notifier

A web-crawling project that helps Kharazmi students get notified about upcoming online classes and homeworks. It can be run on any computer and supports all universities that use Moodle for their learning management system.

Mafia Game  Discord Bot

In post-Covid time, playing party games like Mafia is too risky. Therefore online games are trending these days. Discord is a powerful platform and thanks to its API, we can create amazing bots. I developed a Mafia game with python and discord API.

Resume/CV

You can download my full resume in pdf by clicking the button below.

Download

My Certificates

Deep Learning Specialization  by Andrew Ng

Tensorflow, Convolutional Neural Network, Artificial Neural Network, Deep Learning, Backpropagation, Python Programming, Hyperparameter, Hyperparameter Optimization, Machine Learning, Inductive Transfer, Multi-Task Learning, Facial Recognition System

See credential

Deep Artificial Neural Networks  from IPM

Tensorflow-Keras, OpenCV, Conventional Neural Networks and Convulsions, Recursive Neural Networks, Text Processing and Sequences, Transfer Learning and Optimization, Generative and GAN methods, Data and Network Illustration

See credential

Deep Learning  from Kaggle (subsidiary of Google Inc)

Building Models From Convolutions, TensorFlow Programming, Transfer Learning, Data Augmentation, Deep Learning From Scratch, Dropout and Strides for Larger Models

See credential

Machine Learning  from Kaggle (subsidiary of Google Inc)

Model Validation, Underfitting and Overfitting, Random Forests, Missing Values, Categorical Variables, Pipelines, Cross-Validation, XGBoost, Data Leakage

See credential

Python for Machine Learning  from IPM

Json, Database (DBMS), Python Syntax And Semantics, Data Structure, Tuple, Web Scraping, Sqlite, SQL

See credential

Python  from Kaggle (subsidiary of Google Inc)

Functions and Getting Help, Booleans and Conditionals, Lists, Loops and List Comprehensions, Strings and Dictionaries, Working with External Libraries

See credential

Java  from CodeCademy

Conditionals and control flow, Arrays and ArrayLists, Inheritance and polymorphism, Object-oriented programming, Debugging

See credential

Ruby on Rails  from CodeCademy

MVC design pattern, how to communicate with databases to persist data, Model many-to-many relationships to build powerful Rails apps

See credential

Contact

E-mail me at  ArmanJafarnejad[at]gmail.com  or use the form below.

• Twitter
• Facebook
• Instagram

Elements

i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';