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misshosseini/README.md

Hi πŸ‘‹, I'm Mahsa Hosseini Javid

Junior AI Engineer focused on Machine Learning and Deep Learning

I'm a Junior AI Engineer passionate about building practical AI solutions and learning how to turn machine learning and deep learning models into real-world applications.


πŸ‘©β€πŸ’» About Me

  • πŸ€– Junior AI Engineer focused on Machine Learning & Deep Learning
  • 🐍 Mainly working with Python
  • 🧠 Building and experimenting with ML and Neural Network models
  • πŸ“Š Interested in Data Analysis, Model Evaluation, and AI Applications
  • 🌐 Developing AI-powered applications with Flask and Django
  • πŸš€ Learning MLOps, Docker, and AI deployment
  • πŸ“š Continuously improving my knowledge through hands-on projects

🧠 AI & Machine Learning

  • Machine Learning
  • Deep Learning
  • Neural Networks
  • CNN
  • Classification & Regression
  • Model Evaluation
  • Feature Engineering
  • Data Preprocessing
  • Hyperparameter Tuning
  • Model Deployment

πŸ› οΈ Technologies & Tools

Programming

python git bash

Machine Learning & Data Science

scikit-learn pandas seaborn

Deep Learning

tensorflow pytorch

AI Application Development

flask django

Databases & Deployment

docker kubernetes sqlite mysql


πŸš€ Featured Projects

🧠 Mini Deep Learning Experiment

Comparison of Feedforward Neural Network (FFNN) and Convolutional Neural Network (CNN) models on the MNIST handwritten digit dataset.

πŸ”— View Project

πŸ€– Machine Learning Projects

I'm continuously building projects around:

  • Machine Learning classification and regression
  • Deep Learning and Neural Networks
  • Computer Vision
  • Model comparison and evaluation
  • AI-powered web applications
  • Machine Learning deployment

πŸ“Š GitHub Stats

misshosseini

misshosseini

misshosseini


πŸ“« Connect with Me

LinkedIn Kaggle

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  1. House-Price-Prediction House-Price-Prediction Public

    An end-to-end ML pipeline in Python for California housing price prediction. Features data preprocessing, hyperparameter tuning, and Random Forest regression.

    Jupyter Notebook 1

  2. mini-deep-learning-experiment mini-deep-learning-experiment Public

    A Deep Learning experiment comparing Dense FFNN and CNN performance on the MNIST handwritten digit classification dataset using TensorFlow/Keras. Includes model training, evaluation metrics, confus…

    Jupyter Notebook