Designing Across Designing for High-Stakes DecisionsComplex Industries
Enterprise AI systems where clarity, accountability, and trust are non-negotiable. Across regulated industries, I transform complex workflows into scalable decision architectures — balancing usability, intelligence, and measurable impact.
Recent projects
AI-Augmented Decision Platforms:
I design systems that transform predictive models into structured, accountable workflows making AI recommendations interpretable, auditable, and actionable.
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Pharmacovigilance intelligence platforms ·
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Clinical and HCP decision systems · Enterprise risk and anomaly detection dashboards ·
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Compliance-aligned operational tools
AI Findings
AI Findings & Research:
Through research and system audits across pharma and healthcare, I've identified recurring patterns in why AI fails at the moment of human decision
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Accuracy alone does not build trust · Automation without transparency creates resistance
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Decision ownership must remain human
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Governance must be visible inside the interface
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Trust is earned longitudinally, not at launch
Visual Design
Clarity Is Infrastructure
In complex AI systems, visual design is not aesthetic it is structural.
I design:
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Hierarchies that guide decision flow · Data-dense interfaces without cognitive overload
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Confidence and risk indicators embedded in layout
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Scalable design systems for AI-powered products