VENKATA CHENNA KESHAV NARISETTI

Full-stack developer
Hyderabad, US.

About

I am a passionate individual currently pursuing a bachelor's degree at Sreyas Institute of Engineering & Technology. With a comprehensive understanding of software development and its application in leadership contexts, I strive to contribute meaningfully in all disciplines. As a full-stack developer, I have skills in HTML, CSS, and Python, and I have also obtained certifications in Generative AI, Introduction to Internet of Things, and Cloud Computing. Besides my strong soft skills and core competencies, I actively engage on social fronts as a National Service Scheme (NSS) volunteer. I hope to embrace meaningful responsibilities and help in accomplishing the goals of the organization..

Work

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Flutter Developer

Highlights

Built a fully functional Spotify-like music streaming app using Flutter and Dart.

Implemented key features such as playlist management, audio playback, recently played, and home UI.

Used GetX for state management and the just_audio package for seamless audio playback.

Designed a responsive UI inspired by Spotify using GetWidget components and custom Flutter widgets.

Education

Sreyas Institute of Engineering and Technology

Bachelor of Technology

Computer Science

Grade: 7.19/10.0

Narayana Junior College

Board of Intermediate Education

Grade: 8.81/10.0

Santhi Nikethan High School

Board of Secondary Education

Grade: 9.3/10.0

Publications

Open-source liveliness detection and anti-spoofing system for enhanced face recognition and security using computer vision

Summary

Dr.Joshi Padma Narasimhachary, Chollangi Tulasi Narisetti Venkata Chenna Keshav Mohd Haji Theegala Harshith 1BkTClR7IO2FCykK2zRH5LQ0iQPlB2

Skills

Programming Languages

C++, C, Java.

Scripting Languages

HTML, CSS, Nodejs.

Databases

SQL, MongoDB.

Tools

Microsoft Tools, Canvas, Google and Al tools.

Soft Skills

Leadership, Communication, persuasion.

other skills

Problem Solving, Search Engine Optimization, Web Design, UI | UX Design.

Projects

Open-source liveliness detection and anti-spoofing system for enhanced face recognition and security using computer vision
Real Time Project on Spotify Clone