Aruna Aru

I am a Python developer with hands-on experience in backend development and automation gained during an internship at Rockwell Automation. I build clean, well-documented APIs and backend services using FastAPI and Django, and I prioritize readable, maintainable code.

During my internship I contributed to SupportLens by removing a MongoDB dependency and enabling direct ticket creation in Azure DevOps, improving platform efficiency and scalability. I have practical experience with both SQL and NoSQL databases, including MySQL and MongoDB.

I have built full-stack and ML projects such as an Online Library Management System with role-based access, a Leukemia Type Detection model using MobileNetV2 and Gradio, and a Hill & Valley prediction pipeline using scikit-learn. These projects demonstrate my ability to apply machine learning and backend engineering to real problems.

I work well in collaborative, remote-first environments and have experience with Azure DevOps, Swagger, and developer tools like VS Code and PyCharm. I am committed to continuous learning and applying best practices to deliver reliable, scalable systems.