Vishnu Vardhan Vemula
@vishnuvardhanvemula
Motivated Computer Science graduate specializing in AI and Machine Learning.
What I'm looking for
As a Computer Science graduate with a specialization in Artificial Intelligence and Machine Learning, I am passionate about leveraging technology to create intelligent solutions. My hands-on experience with the MERN stack has allowed me to develop AI-powered applications that optimize tasks and enhance user experiences. I pride myself on my ability to design scalable web systems that address real-world problems effectively.
During my internship at Career Dream Education Ltd., I collaborated with a talented development team to build and maintain Python-based software solutions. I gained valuable experience in writing modular and efficient code while adhering to PEP8 standards. My contributions included backend logic development, bug fixing, and performance optimization, all while following Agile methodologies. I thrive in team environments and value clear communication to achieve project goals.
My projects, such as the AI-Powered Web Application Generator and the Interview Preparation Tool, showcase my ability to integrate AI feedback mechanisms and create responsive platforms. I am eager to continue my journey in the tech industry, focusing on innovative projects that challenge my skills and contribute to meaningful advancements in technology.
Experience
Work history, roles, and key accomplishments
Python Development Intern
Career Dream Education Ltd.
May 2021 - Present (4 years 3 months)
Collaborated with the development team to build and maintain scalable Python-based software solutions for education-focused applications. Gained hands-on experience with writing modular, efficient, and reusable Python code following PEP8 standards.
Education
Degrees, certifications, and relevant coursework
Malla Reddy University
Bachelor of Technology, Computer Science (AIML)
2020 - 2024
Grade: 8.96 CGPA
Studied Computer Science with a specialization in Artificial Intelligence and Machine Learning. Achieved a CGPA of 8.96, demonstrating strong academic performance in the field.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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