Ananda Varshitha Dabbeda

I am a motivated and adaptable software engineer with strong Machine Learning expertise and solid foundations in Java, Python, and C++. I build end-to-end ML solutions and full-stack applications, integrating models into web interfaces to deliver practical, user-focused tools.

My projects include a heart health prediction system with >85% accuracy deployed via Flask, a MERN-based medical image captioning app using CNN–LSTM architecture, and a cross-camera player re-identification pipeline using a fine-tuned YOLO detector and metric learning. I emphasize data preprocessing, model robustness, and real-world integration.

I am currently expanding my applied ML experience through the Infosys Springboard AI Virtual Internship and was selected for the Amazon ML Summer School 2025. I seek roles where I can contribute to impactful ML and software projects, collaborate with teams, and continue growing technical skills.