my name is

Hossein Khodadadi

I am a passionate Data Science enthusiast, trying to expand my skills in Software Engineering. Currently I'm studying Data Science at Politecnico di Torino. Please scroll down to know more about me.

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About Me

Hello! I'm Hossein Khodadadi.I'm a Master's student in Data Science and Engineering at Politecnico di Torino, passionate about Machine Learning, NLP, and Software Engineering. Lately, I've been diving deep into Large Language Models and Computational Intelligence. I started my journey with a Bachelor's in Electrical and Telecommunication Engineering, ranking in the top 5 of my class (GPA: 3.54/4) at one of top universities in my home country. I'm always eager to learn, grow, and tackle new challenges.

Feel free to explore my projects in Github to know more about my work. I'm always open to discussing new opportunities and collaborations.

  • Email: hosseinekhodadadi@gmail.com
  • Location: Torino, Italy
Download CV Let's meet:)

Projects

Project 2

Caltech Classification and Fine Tuning on AlexNet (Classification, Deep Learning)

AlexNet model was used to predict in low data regimes and a large number of classes. different fine-tuning techniques were used to improve the accuracy. Tech: Weights&Biasses, Pytorch

View on GitHub
Project 1

Reinforcement Learning on Game Agent Training for Quixo Board Game (RL, Deep RL)

Min-Max algorithm was implemented to play Quixo game with 95% win rate against a random player. Tech: Python, Pytorch

View on GitHub
Project 2

A Novel Approach for Improving Generalization in Federated Learning Through Corrective Gradient Weights

he Federated Learning paradigm was implemented to train a central Neural Network Model without intruding the clients privacy, the model improved by adding the Corrective Gradient Weights . Tech: Python, PyTorch

View on GitHub
Project 2

Audio Intent Detection Using MFCC

A deep learning model was designed to classify audio files using MFCC method. Tech: Python, TensorFlow, Keras.

View on GitHub

Articles

Federated Learning Article

Improving Generalization in Federated Learning Through Corrective Gradient Weights

An in-depth exploration of how corrective gradient weights can enhance model generalization in federated learning environments, addressing privacy-preserving machine learning challenges.

Published: March 15, 2024
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Deep Learning Article

Fine-Tuning Strategies for Deep Learning Models in Low-Data Regimes

A comprehensive guide to effective fine-tuning techniques for neural networks when working with limited datasets, focusing on transfer learning and data augmentation strategies.

Published: February 28, 2024
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Audio Processing Article

Audio Intent Detection Using MFCC: A Deep Learning Approach

Exploring the application of Mel-Frequency Cepstral Coefficients (MFCC) in audio processing for intent detection, covering feature extraction and neural network architectures.

Published: February 10, 2024
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Reinforcement Learning Article

Reinforcement Learning in Board Games: A Min-Max Approach

An analysis of implementing reinforcement learning algorithms for board game AI, with practical examples from the Quixo game implementation and performance optimization techniques.

Published: January 22, 2024
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Education

2022 - Present

Master's Degree in Data Science and Engineering

Politecnico di Torino, Italy

Specializing in Machine Learning, Natural Language Processing, and Software Engineering. Currently pursuing advanced studies in Large Language Models and Computational Intelligence.

  • Focus: Machine Learning, NLP, Deep Learning
  • Research: Federated Learning, Computer Vision
  • Languages: Python, R, SQL, JavaScript
2018 - 2022

Bachelor's Degree in Electrical and Telecommunication Engineering

Top University in Home Country

Graduated in the top 5 of the class with a GPA of 3.54/4.0. Focused on signal processing, telecommunications, and embedded systems.

  • GPA: 3.54/4.0 (Top 5% of class)
  • Focus: Signal Processing, Embedded Systems
  • Languages: C++, MATLAB, Verilog

Skills

Programming Languages

Python
R
SQL
JavaScript
C++

Machine Learning & AI

Deep Learning
NLP
Computer Vision
Reinforcement Learning
Federated Learning

Frameworks & Tools

PyTorch
TensorFlow
Scikit-learn
Pandas & NumPy
Git & GitHub

Get In Touch

Let's Connect

I'm always open to discussing new opportunities, collaborations, or just having a chat about data science and technology. Feel free to reach out!

Email

hosseinekhodadadi@gmail.com

Location

Torino, Italy

University

Politecnico di Torino

Send me a message