Open to opportunities

Mayank Patil

@mayankpatil

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Aspiring Cloud Engineer with a passion for cloud computing.

India

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What I'm looking for

I am looking for an entry-level position that offers opportunities for growth and hands-on experience in cloud computing.

I am an aspiring Cloud Engineer currently pursuing my Bachelor of Science in Computer Science. My academic journey has been enriched with hands-on projects, including a hand gesture recognition system that utilizes machine learning and computer vision techniques. This project not only honed my technical skills but also ignited my passion for innovative technology applications.

In addition to my academic projects, I have gained practical experience in cloud technologies, particularly with AWS. I successfully deployed a static website using Amazon S3 and configured CloudFront for efficient content delivery. My ongoing projects include launching EC2 instances and automating server setups with shell scripts, which further solidifies my understanding of cloud infrastructure and operations.

I am eager to contribute to a dynamic team in an entry-level role, where I can continue to learn and grow in cloud computing and system operations. I am particularly enthusiastic about infrastructure automation and building scalable systems that can drive efficiency and innovation.

Experience

Work history, roles, and key accomplishments

Academic Project: Hand Gesture Recognition System

Thakur College of Science and Commerce

Sep 2023 - May 2024 (8 months)

Developed a hand gesture recognition system as a final year project, utilizing a pre-trained machine learning model. The system processes live video input, applying computer vision and deep learning techniques for gesture analysis.

Machine Learning Computer Vision Deep Learning Python TensorFlow

Education

Degrees, certifications, and relevant coursework

Thakur college of science and commerce

Bachelor of Science, Computer Science

Grade: 8.2/10

Activities and societies: Developed a hand gesture recognition system as a final year project, utilizing a pre-trained machine learning model. The system processed live video input for gesture detection and classification, applying computer vision and deep learning techniques.

Completed a Bachelor of Science in Computer Science, achieving a CGPA of 8.2/10. The curriculum covered various aspects of computer science, including theoretical knowledge and practical applications.