Alireza-Rahnama

About Me

I am a senior Computer Science student with a keen interest in software development and artificial intelligence. I take pride in being a fast learner, an active listener, and a team player who always strives to renew my skills to stay relevant and deliver quality software with respect to the best practices and maintaining deadlines.

More About Me

I am a senior Computer Science student with a keen interest in software development and artificial intelligence. I take pride in being a fast learner, an active listener, and a team player who always strives to renew my skills to stay relevant and deliver quality software with respect to the best practices and maintaining deadlines.

I am familiar with several programming languages and tools including Python, Java, JavaScript, HTML, CSS, Python's libraries for machine learning, deep learning, and visual computing. I am also familiar with Version control Systems such as Git for collaborative software development.

I love hiking, swimming, and working out in my spare times. I also love to travel and explore new places and open to try new things.

My Skills

Some of my Recent Projects

movies-api

Movies App

Developed an end-to-end web application featuring a RESTful API leveraging Java Spring Boot and MongoDB Atlas for back-end and react.js for the front-end.

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netflic-clone

Reminder App

Built a full-stack React.js app to manage tasks from a JSON file. Containerized with Docker and established CI/CD pipelines by GitHub and AWS Amplify.

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greeny-earth

Pixel Wizard

Implemented a set of image processing techniques including Histogram, Aggressive Stretch and Equalizer. These methods aim to enhance the visual quality of images by adjusting their pixel values and distributions, resulting in better contrast, brightness, and color balance.

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movies-api

Threshold Vision

Implemented thresholding image processing technique to extract the area of interest in an input image.

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movies-api

Data Science/Machine Learning Projects

Launched and evaluated several data science projects to classify bioinformatics data, label clothing items, and predict automobile pricing using KNN, Random Forest, XGBoost, Lasso, Linear and Logistic Regression, and Tensor Flow models.

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Get In Touch

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