Physician-Scientist (MD, MSc, PhDc)
Auditable AI with Clinical Precision.
Bridging the gap between Experimental Cardiology and Generative AI. Building systems where the expert remains the architect.
Bridging the gap between Experimental Cardiology and Generative AI. Building systems where the expert remains the architect.
Moving beyond chatbots. I design systems with strict schema constraints, source-grounding, and human-in-the-loop e-signatures to eliminate hallucinations in clinical reports.
From local LLMs (Ollama) to secure Cloud (Bedrock). I build reproducible MVPs using FastAPI and Docker that respect patient data privacy boundaries.
PhD research in Heart Failure and oxidative stress. I bring wet-lab methodology (Z', S/B robustness) to AI validation.
Translating protocols into structured visit schedules. LLM-assisted tools that reduce manual workload while maintaining full audit readiness.
Local assistant (Ollama) providing citation-based answers from guidelines without PHI exposure.
On-device voice assistant for stepwise execution of laboratory protocols with audit logging.
Privacy-focused tool for medication follow-up (PrEP) with clear clinical responsibility boundaries.
"The question isn't whether AI will be adopted, but by whom it will be constrained. I ensure we don't outsource clinical judgment."
Orchestrated LLM workflows (Bedrock/Claude) for clinical reporting. Achieved ~80% reduction in hallucinations via prompt engineering.
Developed a FastAPI/Docker MVP for cardiovascular patient prioritization. Finalist at "Break The Gap 2025".
Experimental Cardiology. Investigating 5-oxoproline/OPLAH and oxidative stress. High-throughput assays and data analysis.