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.
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.
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.
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.
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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
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Pre-University
Intermediate
Grade: 8.0 GPA
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SSC (10th Grade)
Secondary Education
Grade: 95%
Issued By
HackerRank
Issued By
Dot Institute of Computer Education
Python, Java.
SQL.
Deep Learning, Neural Networks, Generative AI, ChatGPT, Audio Signal Processing.
Full Stack Development, Front-end Development, Back-end Development.
Communication, Active Listening, Time Management, Problem-Solving, Analytical Thinking, Observation.
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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.