● Open to Work

logesh

Software Engineer | Full Stack Developer | React Developer
Chennai, Tamil Nadu

About Me

Full Stack Developer with hands-on experience building scalable web applications using React.js, Node.js, Express.js, MongoDB, PHP, and MySQL. Skilled in JavaScript, Java, SQL, REST APIs, Git, and responsive web development. Experienced in developing real-world client projects, admin dashboards, and AI-powered applications using YOLO and CNN. Passionate about software engineering, problem solving, and creating high-quality user experiences.

Skills & Technologies

React.jsNode.jsExpress.jsMongoDBPHPMySQLJavaScriptJavaSQLREST APIsGitHTML5CSS3BootstrapSpringYOLOv8OpenCVPythonCNNVercelNetlifyPostmanCloudflareRenderFigmaXAMPPVS CodeGitHub

Work Experience

Web Developer

Pentagon Innovations
05/202506/2025

Contributed to the Zinc Builder website client project during internship by developing web features and an Admin Dashboard using HTML, CSS, JavaScript, PHP, and MySQL. Enhanced UI responsiveness and applied real-world development best practices.

MERN Stack Developer Intern

Novitech
03/202504/2025

Managed backend logic and database operations with Node.js, Express.js, and MongoDB. Built dynamic, interactive user interfaces using React.js components.

UI/UX Designer

Vepzo Design Studio
01/202604/2026

Designed user-centric UI/UX solutions for web and mobile applications. Collaborated with developers and stakeholders to translate designs into functional interfaces.

Projects

AI-Powered Autonomous Disinfection Robot – SterilySense

Built an AI-powered autonomous robot for real-time bacterial detection and automated surface disinfection, implementing AI-based sensing to identify bacterial contamination hotspots, UV-based sterilization and an IoT dashboard for system health monitoring.

React.jsNode.jsExpress.jsMongoDB+2

E-Commerce Website - Sterilysense

Developed a MERN-stack e-commerce platform with user, product, order, and admin management featuring responsive React.js frontend and REST APIs using Node.js/Express.js.

React.jsNode.jsExpress.jsMongoDB

Fake Logo Detection Using Machine Learning

Developed a YOLOv8-based deep learning model for fake logo detection with image preprocessing using OpenCV, for brand authentication and fraud detection.

PythonYOLOv8OpenCV

Education

B.Tech

Information Technology

KCG College of Technology2023 - 2027

Master Diploma in Software Engineering

Software Engineering

Anjali Computer Education2024 - 2025

Higher Secondary Education

Govt. Hr. Sec. School Anjur2022 - 2023
logesh - Software Engineer | Full Stack | HiringAnt