Role-Based Leave Management System
Built a MERN app with role-based access, leave workflows, and priority alerts for emergency requests related to sickness or hospitalization.
Sneha H Ambar
Frontend & MERN Developer | React.js | Node.js | MongoDB
chennai
4roles
29skills
4education
About
Electronics and Communication Engineering student with internship experience in MERN stack development, frontend development, and machine learning.
Experience
Developer
CodeLabs Systems
5 mos
Developing full-stack web applications using MongoDB, Express.js, React.js, and Node.js. Creating RESTful APIs and integrating frontend components with backend services.
Machine Learning Intern
Manipal Institute of Technology
3 mos · Manipal, India
Implemented and evaluated feature extraction techniques for machine learning models. Worked with SIFT, LBP, ORB, HOG, and CNNs for image processing and classification tasks.
MERN Stack Developer Intern
CodeLabs Systems
Jan 2026 – Present · Mangalore, India
Developing full-stack web applications using MongoDB, Express.js, React.js, and Node.js; creating RESTful APIs and integrating frontend components with backend services.
Frontend Developer Intern
DTi Labz Pvt. Ltd.
Sep – Nov 2025 · Mangalore, India
Developed responsive web interfaces using React.js and Material UI; enhanced UI/UX by implementing interactive components and design improvements.
Education
Sahyadri College of Engineering & Management
Bachelor of Technology, Electronics and Communications Engineering
Sahyadri College of Engineering and Management
Bachelor of Technology, Electronics and Communication Engineering
2022 – Present
CGPA: 8.3 (up to 7th semester)
State Board of Karnataka
12th
2022
CGPA/Percentage: 92.6
Central Board of Secondary Education
10th
2020
CGPA/Percentage: 82.2
Skills
Node.jsReact.jsMongoDBGitHubMERN StackDeep LearningExpress.jsMachine LearningEmotion RecognitionEEGResponsive Web DesignImage ProcessingEmployee ManagementFull-Stack DevelopmentCommunicationTeamworkMERN STACK developmentFrontend developmentJavaScriptPythonHTMLCSSBootstrapMaterial UI (MUI)Scikit-LearnTensorFlowKerasVS CodeVite
Projects
Emotion Recognition Using EEG Signals
Developed an emotion recognition system based solely on EEG data, implementing an LSTM-based deep learning model for temporal emotion classification and FFT-based feature extraction to enhance accuracy.
Responsive Weather App With Recommendations
Developed a full-stack React.js and Node.js weather app with OpenWeatherMap API integration, responsive design, and recent cities recommendations.
Comparative Study of Traditional ML and Deep Learning for Facial Emotion Recognition
Analyzed and compared traditional machine learning methods using SIFT, ORB, LBP, and HOG with CNN-based deep learning models to improve emotion recognition accuracy.