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About Us

Who Am I?

I am software enginner with the experience of working for both world of backend and frontend.
I have the passion of machine learing/data science and beside of what I am doing at work at my free time I am developing machine learning models and study fo new models

What I do?

Here are some of my expertise

Web Development

I have experience building websites with modern JavaScript frameworks such as React,Angular and I used HTML5,CSS3

Data Structures & Algorithms

As coming from the CS background, I have good grasp over fundamental concepts of DSA

Machine learning/Data science

My journy at the world of data science started from my master thesis and still continues

highlights

Timeline

Sotware Enginner (Frontend developer / QA engineer) at WindTre SPA June 2019-present

On Behalf of Altran Spa, I am working at WindTre company which is one of the top Telecom companies in Italy.
Key Qualifications and Responsibilities:
1. Frontend developer:
1.1 Implement eCommerce websites from the concept through the development by using Angularjs,HTML5,SASS
1.2 Standardized all output with a new, responsive design
1.3 Collaboration with the product team to implement new feature developments
2. QA Engineer:
2.1 Collaborate with developers to provide bug-free apps towards the clients
2.2 Design the framework that capable to do the automation test at website, Android and IOS apps by using Selenium, Python and appium

NLP developer - Vodafone Italy June 2019

This experience refers to the Vodafone Tobi Hackathon. The main idea of this hackathon was design the app that helps disabled people. Our team came with the idea to design the app with the concentration of blind and half-blind people. This app has the frontend of Android and backend was designed by Python with the NLP methodology, at the backend, I designed the NLP which receiving the information from the user over the voice and doing the speech-to-text and then looking at the vocabulary dictionary that provided when it finds it does the text-to-speech and send it to the user. By this idea, our team won the first place.

Backend developer - Bosch Gmbh September 2018

This experience refers to Bosch mobility hackathon. This event was held at Milan and our team designed the idea for managing park slots at Milan by using GPS sensors and by this methodology we are able to track the cars as well as sending the information to police and firefighters and emergency. The frontend was done by Android and the backend was designed by Nodejs for the tracking system of cars as well as storing the information by the provided API at Database (Database was implemented by MongoDB)

Master of Computer and communication network engineering - Polytechnic of Turin 2014-2018

Course projects:
Radio coverage of Ireland by using RadioMobile software –Radio planning course project-July 2016 Network performance and reliability measurement-network measurement lab Project-January 2016
Master thesis:
I was the exchange master student from Polytechnic of Turin to RWTH University of Aachen. The topic of my master thesis was reducing the power consumption inside the datacenter which had two main phases: Prediction and optimization. Phase one referred to the prediction of the behaviour of the consumed inside this environment and it was done by using time-series forecasting and ARIMA (Autoregressive integrated moving average), implemented by Python programming and I got 98% accuracy without overfitting. Phase two was referred to reducing the overall consumed power, which implemented by python programming with the help of Grubi solver and the final result was reducing the consumed power of 13KW.

Bachelor of software engineering - Damavand Islamic Azad University 2008-2013

My Work

Recent Projects

Hotel reservation app

Hotel reservation App
designed by reactjs

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Todolist app

Todolist App
designed by reactjs
Used react hooks

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Music player app

Music player App
designed by reactjs
Used deezer api

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Hayola framework

Deep learning model
Takes hand-written web mockups
provides HTML code

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Recommendation systems

Movie and books recommendation systems

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Twitter sentiment anslysis

twitter sentiment analysis with/without mood

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CoronaVirus anslysis

Coronavirus analysis and visulization

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Bitcoin prediction

Bitcoin prediction using LSTM neural net

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