AI Engineer with experience in computer vision, NLP, and end-to-end deep learning solutions.
I’ve worked extensively on healthcare-related AI projects, but I'm equally passionate about LLMs, generative AI, and real-world automation.
- Maxilla & Mandible Detection: Deep learning model on 3D CBCT data, custom CIOU loss, integrated into clinical pipeline.
- Kidney Stone Detection App: YOLO + OpenCV, Streamlit web app for user interaction.
- Face Recognition Tool: DeepFace embeddings + PyQT interface.
- Chat With Your PDF App: Built a RAG-based app to query PDF content using LangChain and Groq LLMs. Implemented history-aware question reformulation, FAISS-based retrieval, and real-time chat UI with Streamlit. Used HuggingFace embeddings and sentence chunking for document parsing.
- Mathematics Agent: Developed a math-focused AI assistant using LangChain’s ReAct agent framework and Groq-served Gemma2 LLM. Integrated numeric calculator and Wikipedia search tools, engineering prompts to enforce math-only behavior with polite refusal of unrelated queries.
- House Price Prediction: ML model with Flask web deployment.
- Stroke Prediction: SVM, KNN, RF on health data with full preprocessing.
