Cloud Engineer — designing, deploying, and operating infrastructure on AWS. B.Tech AI & Data Science, graduating 2026.
A motivated AI & Data Science undergraduate with real-world cloud and ML experience, graduating from Saveetha Engineering College in 2026.
I hold the AWS Certified Solutions Architect – Associate credential and have hands-on experience deploying ML models, managing cloud storage, and scripting automation workflows. I'm proficient in Python, Linux, Docker, and AWS-native tooling — eager to design and operate infrastructure that's reliable, secure, and quietly brilliant.
I believe great cloud engineering is invisible — systems that just work, scale under load, and recover gracefully. That's the standard I hold my work to.
Actively seeking Cloud Engineer, DevOps, or ML roles. Immediate joiner. Open to on-site, hybrid, or remote.
Say Hello →Designed and deployed a REST API backend using FastAPI on a cloud environment with HTTPS endpoints. Integrated Gemini API for real-time AI responses with API key authentication and rate limiting — mimicking AWS Lambda/EC2 serverless deployment patterns.
Built an AI-powered mobile app with a TensorFlow model for tourism recommendations, backed by a cloud-hosted REST API. Designed error handling and monitoring hooks, with state management between the Flutter frontend and the cloud model endpoint.
Real-time object detection system using YOLO and OpenCV, packaged as a containerized Python service. Automated processing pipelines demonstrate cloud automation skills. Designed for Docker-based deployment with a modular, scalable architecture.
I'm actively seeking fresher Cloud Engineer, DevOps, or infrastructure roles. Have an opportunity, a question, or just want to say hi — my inbox is always open.