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AYESHAASS/README.md

Hi, I'm Ayesha 👋

ML researcher specializing in healthcare AI and deep learning, with a focus on taking models from research to production.

🔬 Research - First-author paper published in Springer Nature (International Journal of Diabetes in Developing Countries): a hybrid BiLSTM clinical decision support system achieving 96% accuracy and 100% sensitivity on independent clinical validation.

🚀 Building - Production ML systems including Retrieval-Augmented Generation (RAG) applications, XGBoost ensembles, and exploring Agentic AI through Google x Kaggle's 5-Day Gen AI Intensive.

📌 Featured Projects

Medical RAG Assistant Multi-document RAG system with LangChain, FAISS, and Llama-3.3-70B. Anti-hallucination grounding with source citations. 🔗 Live demo

Diabetes Risk Prediction API XGBoost + Random Forest voting ensemble served via FastAPI, deployed with Docker, and SHAP explainability. 🔗 Live demo

🛠️ Tech Stack

Languages & Frameworks Python FastAPI Docker TensorFlow

ML / AI Scikit-learn LangChain HuggingFace

Core Models: BiLSTM · XGBoost · Random Forest · Pretrained CNNs (VGG16, ResNet50). LLM & RAG: LangChain · FAISS · Groq API · Llama-3.3-70B · Prompt Engineering.

📄 Publication

A Hybrid Deep Learning Approach for Diabetes Prediction and Personalized Recommendations International Journal of Diabetes in Developing Countries, Springer Nature (2026). DOI: 10.1007/s13410-026-01658-3

🌍 Currently

  • Open to remote ML/AI roles - internships and research positions welcome.
  • Building Agentic AI projects through Google x Kaggle's 5-Day Gen AI Intensive.
  • Studying RAG architecture, Transformers, and LLM fine-tuning deeply.

📫 Reach me: ayesha.psr1234@gmail.com

Popular repositories Loading

  1. diabetes-fastapi-service diabetes-fastapi-service Public

    A production-grade ML Microservice using an Ensemble Model (XGBoost + Random Forest) served via FastAPI and Docker.

    Python

  2. Medical-RAG-Assistant Medical-RAG-Assistant Public

    🩺 A production-grade, hallucination-resistant RAG engine for medical manuscripts. Built with LangChain, Llama-3.3-70B, and FAISS for clinical precision.

    Python

  3. multi-doc-rag multi-doc-rag Public

    Python

  4. Clinical-MultiAgent-CDSS Clinical-MultiAgent-CDSS Public

    A research backed multi agent clinical decision support system for diabetes risk prediction using Google ADK and MCP protocol.

    Python

  5. Agentic-AI-for-Clinical-Decision-Support-System Agentic-AI-for-Clinical-Decision-Support-System Public

    A Clinical Decision Support System (CDSS) for Diabetes Risk using Agentic AI & SHAP Explainability. Developed for Cotiviti Topic 2: Prediction, Pattern Recognition, and Agentic Generative AI for TPO.

    Python

  6. AYESHAASS AYESHAASS Public