

Recent computer science graduate skilled in AWS, CI/CD pipelines, Docker, and infrastructure as code. Focused on automating infrastructure and building scalable cloud solutions. Seeking an entry-level DevOps role to utilize cloud expertise and contribute to significant projects.
Campus Connect is a cloud-native event management platform deployed on AWS EC2 (Ubuntu 22.04) with Node.js backend, MySQL database, and Nginx reverse proxy. Implemented GitHub Actions CI/CD for zero-downtime deployments and Let's Encrypt SSL for HTTPS security. Features include event listing (20+ events), secure authentication (Student/Admin roles), duplicate registration prevention, admin dashboard for CRUD operations, and interactive calendar view. PM2 ensures 99.9% uptime with auto-restart. Achieved
Built a computer vision solution to automate attendance tracking. Used OpenCV for face detection and face_recognition library for facial feature extraction. Integrated a webcam for real-time capture and a SQLite database for storing student/trainee records. Responsible for model implementation, camera integration, and database design. Reduced manual attendance effort by 60% with 70-80% recognition accuracy.
Built an AI tool that helps farmers by detecting plant diseases from leaf images, identifying soil types, and providing weather-based recommendations. Used MobileNetV2 (CNN) to achieve 70.4% accuracy for plant disease detection and a hybrid CNN+SVM model for soil classification with 74.4% accuracy. Integrated OpenWeatherMap API for real-time weather data. Combined all three results into a single recommendation ('Suitable', 'Use Caution', 'Not Recommended') using a weighted scoring system. Packaged the entire application using Docker for easy deployment.
Campus Connect is a cloud-native event management platform deployed on AWS EC2 (Ubuntu 22.04) with Node.js backend, MySQL database, and Nginx reverse proxy. Implemented GitHub Actions CI/CD for zero-downtime deployments and Let's Encrypt SSL for HTTPS security. Features include event listing (20+ events), secure authentication (Student/Admin roles), duplicate registration prevention, admin dashboard for CRUD operations, and interactive calendar view. PM2 ensures 99.9% uptime with auto-restart. Achieved
Built a computer vision solution to automate attendance tracking. Used OpenCV for face detection and face_recognition library for facial feature extraction. Integrated a webcam for real-time capture and a SQLite database for storing student/trainee records. Responsible for model implementation, camera integration, and database design. Reduced manual attendance effort by 60% with 70-80% recognition accuracy.
Built an AI tool that helps farmers by detecting plant diseases from leaf images, identifying soil types, and providing weather-based recommendations. Used MobileNetV2 (CNN) to achieve 70.4% accuracy for plant disease detection and a hybrid CNN+SVM model for soil classification with 74.4% accuracy. Integrated OpenWeatherMap API for real-time weather data. Combined all three results into a single recommendation ('Suitable', 'Use Caution', 'Not Recommended') using a weighted scoring system. Packaged the entire application using Docker for easy deployment.