hazem ayman

Computer Vision Engineer Intern

• Job Details:Trained and deployed a teeth disease classifier using VGG16 and ResNet50, developed one model from scratch and another with transfer learning, deployed via Streamlit. Trained and deployed a water segmentation model using 12-channel satellite imagery for multispectral and optical data, deployed via Flask. Trained and deployed a shoplifting classifier using video classification models from Hugging Face, deployed via Django.

Summer Training

• Job Details:Worked with Oracle Forms and Reports for database-driven applications. Learned ASP.NET MVC application development and the software development lifecycle. Studied networking and network security fundamentals. Explored Power BI for business analytics and reporting.

Machine Learning Engineer Intern

• Job Details:Conducted comprehensive exploratory data analysis (EDA) to understand dataset characteristics and visualized key insights. Implemented one-hot encoding, feature selection, and feature extraction techniques to preprocess data. Employed various methods for hyperparameter tuning to optimize model performance. Trained multiple machine learning models for classification and prediction tasks. Developed and deployed machine learning models using Flask and Django frameworks.