I'm passionate about the intersection of Artificial Intelligence and Healthcare — using machine learning, data science, and thoughtful design to solve real-world problems in clinical care, public health, and patient experience.
- 🔭 I'm currently working on AI-powered tools for health diagnostics and patient outcomes
- 🌱 I'm currently learning Deep Learning, Medical Imaging, NLP for clinical text, and MLOps
- 👯 I'm looking to collaborate on open-source health-tech projects and AI-for-good initiatives
- 💬 Ask me about AI in medicine, digital health, or responsible ML
- 📫 How to reach me: open an issue or connect via the links below
- ⚡ Fun fact: I believe the best healthcare AI is the one that gives clinicians more time with patients
🏥 Clinical Decision Support → ML models that assist (not replace) clinicians
🧬 Medical Imaging → Computer vision for radiology & pathology
📊 Health Data Analytics → EHR insights, population health, predictive risk
💬 Healthcare NLP → Clinical notes, triage chatbots, symptom checkers
⚖️ Ethical & Responsible AI → Fairness, explainability, privacy-preserving ML
Languages
ML / AI
Data & Tools
Healthcare-Specific
Soon you'll find pinned projects here covering:
- 🩻 Medical image classification with PyTorch
- 📋 Clinical NLP pipelines for extracting insights from notes
- 📈 Predictive health dashboards with Streamlit
- 🤖 Healthcare chatbots powered by LLMs + RAG
Stay tuned — repositories incoming! ⭐
"The goal of healthcare AI isn't to replace human judgment — it's to give every patient the benefit of the world's best clinical thinking."
⭐ If you like what I'm building, consider starring my repos and following along.