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Kavya MangisettyKM
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Kavya Mangisetty

@kavyamangisetty

Computer Science graduate who developed Smart Learn, an AI-powered learning platform with quizzes and performance tracking.

India
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What I'm looking for

I'm seeking an entry-level opportunity to apply my technical skills and gain practical experience.

I developed Smart Learn, an AI-powered learning platform for instant doubt clarification and personalized learning support. I implemented quizzes and performance tracking to monitor student progress.

I also designed the platform’s interface to provide interactive learning resources and improve the student learning experience.

For my Blind Stick Using Ultrasonic Sensor project, I designed a smart stick that detects nearby obstacles and provides sound alerts. I integrated an ultrasonic sensor with a buzzer to support safer, more independent navigation.

At Datavalley, I completed an internship program in Generative AI and Prompt Engineering offered by the Council for Skills and Competencies (CSC India) under AP-SCHE – Student Internship Initiative. I also completed a 200-hour internship in Full Stack Python Development at Quedbedtech Private Limited.

Experience

Work history, roles, and key accomplishments

DA

Generative AI and Prompt Engineering Intern

Datavalley

May 2025 - Jul 2025 (2 months)

Completed an internship program offered by the Council for Skills and Competencies (CSC India) under AP-SCHE – Student Internship Initiative.

QL

Full Stack Python Intern

Quedbedtech Private Limited

May 2024 - Jul 2024 (2 months)

Completed a 200-hour internship in Full Stack Python Development.

Education

Degrees, certifications, and relevant coursework

HT

Hindu College of Engineering and Technology

B.Tech, Computer Science and Engineering

2022 -

Grade: CGPA: 7.65

Pursuing a B.Tech in Computer Science and Engineering with a CGPA of 7.65.

PC

Palloti Junior College

Intermediate, Intermediate

2020 - 2022

Grade: Percentage: 66

Completed Intermediate education with a percentage of 66.

VS

Vinuthna High School

SSC, SSC

2019 - 2020

Grade: Percentage: 90

Completed SSC with a percentage of 90.

Tech stack

Software and tools used professionally

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