Ali Majedi

Angestellt, Student Assistant Software Development, ViSenSys GmbH
Herne, Germany

Fähigkeiten und Kenntnisse

Machine Learning
Java
Python
Data Analysis
R
JavaScript
HTML
Database
SQL
GitHub
TensorFlow
PyTorch
Excel
REST
Django
Node.js
PostgreSQL
pytorch
Computer Vision
OpenCV

Werdegang

Berufserfahrung von Ali Majedi

  • Current 2 years and 4 months, since Feb 2024

    Student Assistant Software Development

    ViSenSys GmbH

    • Building Computer Vision models to address real-world challenges, with a focus on detection and tracking solutions.

  • 3 months, Oct 2022 - Dec 2022

    Fullstack Developer

    Rapitout

    Used Socket.io, Node.js, HTML, CSS and JavaScript to develop a real-time responsive web game.

  • 6 months, Apr 2021 - Sep 2021

    Fullstack Developer

    Populerising

    Using Python, Django, Rest and PostgreSQL to collect submissions in Reddit in real-time, efficiently store and analyze the data while having access to years of submissions within seconds using the website.

  • 4 months, May 2020 - Aug 2020

    Artificial Intelligence Engineer

    Key ASIC

    In Python, developed image classifier for blood cells using deep learning and developed bilirubin predictor using regression.

  • 1 year and 3 months, Aug 2018 - Oct 2019

    Artificial Intelligence Engineer

    Fylix

    Used Java and SQL for backend and Spring Boot, HTML, CSS and JavaScript for frontend. Developed Data Wrangling tools to extract data from PDF, Word and Excel using string matching algorithm and artificial intelligence.

  • 1 year, May 2017 - Apr 2018

    Information Technology Engineer

    Awesome English Language Center

    Web development using HTML, CSS and JavaScript. Setting up webhooks and APIs for efficient marketing campaigns.

Ausbildung von Ali Majedi

  • Current 3 years and 2 months, since Apr 2023

    Master of Science: Data Science

    TU Dortmund

  • 3 years and 11 months, Sep 2016 - Jul 2020

    Bachelor of Computer Science: Artificial Intelligence

    University of Malaya

    Final Year Project: Hybrid Movie Recommendation System. Implemented Matrix Factorization, String Matching and feature extraction using IMDB dataset to provide personalized movie recommendations.

Sprachen

  • English

    C2 (Verhandlungssicher / Muttersprachlich)

  • Arabic

    C1 (Fließend)

  • German

    A1-A2 (Grundkenntnisse)

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