Medical & Healthcare
I build AI systems that tackle real-world medical challenges, from Q&A platforms to multimodal diagnostic tools. These projects blend advanced models with a passion for healthcare innovation.
🏥 Multi Agent Medical AI 🤖
This is an AI-driven medical question-answering system integrating LLaMA 3.1, DeepSeek R1, and Transformer models to provide accurate, evidence-based medical responses.
Multimodal RAG App for Medical App
This is a GenAI project designed to make it easier to understand and analyse medical documents, and is designed to perform multimodal retrieval-augmented generation (RAG).
NLP & Chatbots
Here, language comes alive through chatbots and content generators crafted with care. Each project is an exploration of natural language and smart conversations.
Fine-Tuning Large Language Models (GPT, LLaMA)
Fine-tuned LLMs for medical applications using PyTorch, Transformers, and CI/CD pipelines with GitHub Actions, ensuring reproducibility with MLflow.
Text Summarisation
A complete pipeline for summarising text, covering everything from data ingestion to evaluating the final model. We've used GitHub Actions for CI/CD and deployed everything
Computer Vision & Image Processing
From face recognition to artistic style transfers, I explore the visual side of AI. Each project is a creative blend of deep learning and image magic.
Autonomous Driving Car Detection
Developed and deployed an Object Detection system using the YOLO model, leveraging computer vision and imagery data to achieve accurate and efficient real-time car detection.
Image Segmentation with U-Net
The aim is to segment images to identify and delineate various objects within them. This involves training a deep learning model to perform image segmentation tasks effectively.