Vignesh MS

Vignesh MS

I have recently completed my B.E Computer Science and Engineering at Sasurie College of Engineering I have completed my Frontend Course in Global Quest Technology

Krishnagiri, IndiaSoftware Development and Quality Assurance
2roles
42skills
6education
4credentials

About

Motivated Computer Science graduate with practical experience in full-stack web development, deep learning, and software quality assurance.

Experience

Web Developer

I am done my internship for 3 months

Website Developer Intern

QuantumQLabs

Jul 2024 – Aug 2024

Designed and developed responsive web pages using HTML, CSS, Bootstrap, and JavaScript; improved UI consistency and reduced page load time through optimized asset structuring. Integrated frontend components with backend APIs for dynamic content rendering. Collaborated in an agile team across 2 sprint cycles and maintained version control using Git.

Education

Anna University Chennai

2021

Bharath M

12 th

[object Object]

70%

Bharath M

10th

[object Object]

56.2%

Sasurie Academy Of Engineering - India

B.E.COMPUTER SCIENCE AND ENGINEERING

[object Object]

7.66

Sasurie College of Engineering

B.E., Computer Science

Graduated 2025

CGPA: 7.38

Bharath Matric. Hr. Sec.

HSC

2021

70%

Skills

EnglishSoftware & Hardware TrainingUser Experience (UX)Ethical HackingEngineering EducationSpring FrameworkBack-End Web DevelopmentCybersecurityConvolutional Neural Networks (CNN)Error Correcting CodesDeep LearningInternal TrainingAndroid DevelopmentMicrosoft Visual Studio CodeJava Application DevelopmentCascading Style Sheets (CSS)Front-End DevelopmentReliability TestingBootstrap (Framework)Visual Web DeveloperFull-Stack DevelopmentPythonJavaScriptHTMLCSSSQLMySQLBootstrapManual TestingSeleniumVS CodeGitCNNImage ProcessingAndroid StudioPostmanAPI TestingTensorFlowKerasOpenCVFlaskJava

Projects

Flipkart Application – QA Testing

Prepared an SRS document covering 20+ functional and non-functional requirements, achieving a 92% test pass rate. Designed and executed 50+ test scenarios and test cases for search, cart, checkout, payment, and order tracking, identifying 12+ bugs.

Brain Stroke Detection System

Built a CNN-based deep learning pipeline using Python, TensorFlow/Keras, and OpenCV to classify brain strokes from 500+ CT images, achieving 93% classification accuracy. Deployed the model through a Flask web interface for real-time scan uploads and confidence-score predictions.

SIM Activation Portal

Developed a responsive SIM activation portal with end-to-end KYC onboarding and status tracking, using HTML, CSS, JavaScript, Bootstrap, and MySQL. Implemented a 5-table schema with CRUD operations and Bootstrap form validation.

Sasurie College of Engineering Website

Designed and developed a responsive institutional website with 10+ interactive UI components using HTML5, CSS3, Bootstrap 5, and JavaScript. Integrated Google Maps, social media links, and a 9-field contact form with captcha validation.