Suchir Shenishetty

I built an AI-based skin disease detection system using Python and TensorFlow, applying transfer learning with fine-tuned CNN models to classify 20+ skin diseases. I served predictions through a Flask backend and React front end, and the project received the Merit Award for 2nd Best Product at Product Expo 2025.

For my movie recommender, I processed data for 5,000+ movies with pandas and scikit-learn, then deployed the content-based app on Heroku. It uses text preprocessing and cosine similarity to rank similar movies.

I'm developing a multi-agent assistant using LLMs, autonomous agents, and workflows as part of the Google Agentic AI Hackathon. I also built a UiPath workflow during the MassMutual India – AIDEA Program that automated ACME Portal work item extraction, reducing manual processing time by an estimated 60%.