healthcare-ai-portfolio

Healthcare AI Portfolio

I am a Director of Engineering focused on building AI-enabled healthcare products. This portfolio showcases applied AI/ML work completed as part of an AI/ML Master’s program, curated for healthcare product organizations.

The projects here are framed as clinical and product use cases: integrating clinical context, workflows, safety, and feasibility.

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🔍 Explore

• 👉 Case Studies
• 👉 Thought Leadership
• 👉 Contact

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🩺 Focus Areas

• Clinical risk prediction (ICU mortality, AKI, ADHD risk)
• NLP on clinical notes (liver failure, diagnosis support)
• LLM-based medical question answering
• Healthcare data engineering: MIMIC, SQL, cohort extraction
• Visualization for clinical insight

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🎯 Perspective

Healthcare AI must blend:

• Clinical value
• Product usability
• Engineering rigor
• Responsible AI (safety, bias, explainability)

These projects and essays are meant to reflect that combined perspective.