K.L.V.SAI SUBHASH

Aspiring Software Engineer | Deep Learning Enthusiast

Chilakaluripet, IN.

About

A driven Computer Science Engineering student with a strong foundation in Deep Learning, Python, and SQL, demonstrated through a project on content-based music signal classification. Eager to leverage full-stack Java and Generative AI internship experiences to contribute to innovative software development initiatives. Seeking a challenging role to apply analytical problem-solving skills and drive measurable impact within a dynamic tech environment.

Work

APSCHE

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Generative AI Intern

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Summary

Participated in a specialized internship focusing on cutting-edge Generative AI technologies and ChatGPT applications.

Highlights

Explored and applied principles of Generative AI and ChatGPT, gaining practical experience in large language model interaction.

Developed foundational understanding of AI model prompt engineering and its application in diverse scenarios.

Contributed to discussions on future AI applications, enhancing theoretical and practical knowledge in the field.

SkillDzire

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Full Stack Java Intern

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Summary

Completed a comprehensive Full Stack Java internship, gaining hands-on experience in both front-end and back-end development.

Highlights

Acquired hands-on proficiency in full-stack Java development, including front-end and back-end technologies.

Implemented core Java concepts, web frameworks, and database integration to build functional components.

Developed practical skills in creating robust and scalable web applications through guided projects.

LMS (Learning Management System)

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Digital Productivity Intern

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Summary

Engaged in an internship focused on enhancing digital productivity within a Learning Management System environment.

Highlights

Analyzed and contributed to optimizing digital workflows within a Learning Management System (LMS) environment.

Gained insights into data efficiency and user experience improvements, applying digital tools to streamline processes.

Supported initiatives to enhance overall digital productivity, contributing to a more efficient online learning platform.

Education

Tirumala Engineering College

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Bachelor of Technology (B.Tech) Computer Science and Engineering Grade: 7.6 GPA / 70%

Courses

Data Structures and Algorithms

Object-Oriented Programming

Database Management Systems

Artificial Intelligence

Machine Learning

Sri Chaitanya Junior College

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Pre-University Intermediate Grade: 8.0 GPA

Chaitanya Littles Talent School

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SSC (10th Grade) Secondary Education Grade: 95%

Languages

English

Telugu

Certificates

Python Programming (HackerRank)

HackerRank

Python Programming (Dot Institute of Computer Education)

Dot Institute of Computer Education

Skills

Programming Languages

Python, Java.

Databases

SQL.

Artificial Intelligence & Machine Learning

Deep Learning, Neural Networks, Generative AI, ChatGPT, Audio Signal Processing.

Web Development

Full Stack Development, Front-end Development, Back-end Development.

Soft Skills

Communication, Active Listening, Time Management, Problem-Solving, Analytical Thinking, Observation.

Projects

Content-Based Music Signal Classification using Deep Learning

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Summary

Developed a deep learning system for automatic categorization of music signals into genres like rock, jazz, classical, and hip-hop. The system utilizes neural networks to analyze audio data, recognizing specific patterns and features unique to each genre.