🚑 Resident Doctor
💡 Healthtech & AI Enthusiast | Clinical Data Science Learner
| Project | Description |
|---|---|
| CNN-based computer vision model that detects pneumonia and provides visual explainability via Grad-CAM. | |
| NLP model classifying primary care symptom text into Emergency · Urgent · Routine · Self-care. | |
| Using NEWS2 values to create a ML model built in Python using Logistic Regression | |
| A lightweight, frontend-only ward round documentation SPA featuring interactive anatomical diagrams for clinical annotations and auto-generated patient summaries. | |
| Generative RNN trained to invent over 600 novel, chemically valid drug candidates. | |
| FastAPI + Streamlit analytics platform that visualises real-time project KPIs, risks, and financial performance to power data-driven decision-making. | |
🔍 AuditAI |
a Streamlit-powered app that automates clinical audit analysis and generates polished, NHS-style compliance reports in seconds. |
| A fast, intuitive Emergency Department workflow tool that brings real-time patient tracking, documentation, and clinical oversight into one clean, modern dashboard. |
| Certification | Issuer | Focus / Key Area | Logo |
|---|---|---|---|
| ICH-GCP (Good Clinical Practice) | NIHR / Transcelerate | Principles of clinical trial conduct and ethics. |  |
| ABPI Code of Practice Certification | ABPI | Ethical promotion of prescription medicines in the UK. |  |
| Google AI Essentials | Coursera × Google | Core concepts in Generative AI and ML fundamentals. |   |
| AI in Healthcare (University of Colorado) | Coursera | Applying deep learning models to medical datasets. |  |
Languages: Python, SQL, Markdown
Libraries: scikit-learn, pandas, matplotlib, TensorFlow
Domains: Primary Care, Clinical Data, NLP, AI in Healthcare
- Applying AI to improve patient outcomes and system efficiency across the UK healthcare system.
- Building explainable NLP models clinicians can trust.
- Exploring digital health product design and clinical data governance.
- Long-term: lead innovation that merges clinical reasoning with data-driven insights.
This profile and its projects are for educational and exploratory purposes only and are not clinical decision-making tools.
“Exploring the intersection of medicine, data, and innovation to build safer, smarter healthcare systems.”