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Domain Expertise Across Industries

My work sits at the intersection of applied UX research, enterprise design, and AI-driven systems. I have designed and studied user experiences across highly regulated domains, including Life Sciences and Healthcare, HR and IT Service Management, Oil & Gas, and Banking, where the core challenge is not interface design, but decision clarity and trust. Through research-driven inquiry, I translate complex, data-intensive workflows into intuitive, human-centred systems that support accountability, explainability, and adoption. This cross-industry research perspective enables me to design scalable design systems and AI experiences that balance usability, intelligence, and measurable business impact while maintaining consistency and trust across platforms.

Pharmacovigilance

Pharmacovigilance focuses on monitoring, detecting, and preventing adverse effects of pharmaceutical products.​

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My UX work in this domain emphasizes clarity, compliance, and data transparency enabling safer, faster clinical decisions.

HCP Innovation 

I research why AI fails at the moment of clinical decision and how to fix it.
My work designs context-aware, explainable decision intelligence that reduces uncertainty and preserves clinician autonomy.

Designing Trust in Healthcare AI

Healthcare AI has reached a paradoxical moment. While predictive models continue to improve in accuracy and sophistication, real-world adoption remains constrained. The limiting factor is not technical capability—it is trust.

 Trustworthy AI

AI in Life Sciences isn’t struggling because of weak models—the technology can already classify safety cases, predict trial risk, identify patient cohorts, and generate narratives. 

Ambient Health AI

Ambient Health AI is a passive, voice-enabled health detection system that listens for symptoms spoken naturally in everyday environments and intelligently routes them to clinicians. 

VisiGuard AI

This solution creates a more trustworthy, safe, and human-centred digital experience by combining real-time sensing, age detection, and well-being interventions.

 AI proposing is a middle layer

My research redefines pharmacovigilance by using AI to make human safety decisions explainable and defensible—without removing medical authority.

Judgment-Calibrated Longitudinal

Systems and Methods for Judgment-Calibrated Longitudinal Patient Narrative Intelligence in AI-Driven Healthcare

Banking

In the Banking domain, I’ve crafted user experiences for back-end ticketing and workflow management systems.
 

My designs streamline complex financial operations, ensuring accuracy, transparency, and seamless task execution.

Oil & Gas

In the Oil & Gas domain, I’ve designed interfaces that simplify complex operational data and monitoring systems.​

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My focus is on enhancing efficiency, safety, and decision-making through intuitive, real-time visualization.

Design Work

  • Behance
  • LinkedIn
  • Dribbble
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