Anirudh Chenna

I built a fully local RAG-based chatbot using Ollama for LLM inference, ChromaDB for vector storage, and sentence-transformer embeddings with cross-encoder re-ranking. I extended it into a multi-agent system with LangGraph for tool use, function calling, and decision routing, then deployed it as a Streamlit app.

For CryptoGuard, I designed an AI-powered vulnerability detector for C/C++ source code, combining TF-IDF features, an XGBoost classifier, and rule-based static analysis. I also built and deployed a Flask REST API that serves predictions with explainable confidence scoring.

I engineered a CNN-based bone fracture detection model using X-ray images, with preprocessing, data augmentation, and hyperparameter tuning. I also built a CustomTkinter desktop application for image upload, model inference, and result export.

During my AI Intern role at Krutanic, I worked on data preprocessing, model training, and predictive analytics, and contributed to NLP and chatbot development. I’m seeking an AI Engineer, LLM Engineer, or Generative AI Engineer role building scalable, production-ready AI solutions.