S Veerendra Swamy

Aspiring AI/ML Engineer

Erragudi Near Anjenya Temple ,Moka, 583117, Ballary, IN.

About

Highly motivated B.E. student specializing in Artificial Intelligence and Machine Learning, with a strong foundation in Python, C++, and web development. Eager to leverage proven leadership in developing impactful AI/ML projects and problem-solving skills to contribute to innovative solutions in a dynamic organization.

Volunteer

Volunteer

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Various Cultural Events

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Actively volunteered for celebrations and cultural events, contributing to community engagement and event success.

Highlights

Supported event logistics and execution, ensuring smooth operations and positive participant experiences.

Contributed to fostering a vibrant community atmosphere through active participation in various initiatives.

Education

Ballari Institute of Technology and Management

Ballary, Karnataka, India
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Bachelor of Engineering (B.E.) Artificial Intelligence and Machine Learning Grade: 9.23 CGPA

Board of Intermediate Education, Karnataka

Karnataka, Karnataka, India
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12th Grade Science Grade: 80.3%

Central Board of Secondary Education (CBSE)

India, , India
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10th Grade General Studies Grade: 62%

Awards

Top 5 Rank in Hackfest Coding Competition

Hackfest

Achieved a top 5 ranking in a competitive coding hackfest, demonstrating exceptional problem-solving abilities and algorithmic proficiency under pressure.

Languages

English

Kannada

Telugu

Skills

Programming Languages

C, C++, Java, Python.

Web Development

HTML, CSS, React.js.

Databases

SQL.

Artificial Intelligence & Machine Learning

U-Net Architecture, Convolutional Neural Networks (CNN), Deep Learning, Image Processing.

Project Management

Team Leadership, Project Delivery, Rapid Prototyping.

Interests

Hobbies

Listening to Music, Culinary Exploration.

Clubs & Activities

Kriya Club Member, Workshops, Hackathons, Cultural Events.

Projects

Network Latency Tester

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Summary

Led a team of four to develop a 'Network Latency Tester' using Python, designed to accurately measure network performance.

Black and White Image Colourization

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Summary

Spearheaded a mini-project focused on colourizing black and white images, leveraging advanced U-Net architecture and Convolutional Neural Networks (CNN).