Challenge

As AI technologies expanded across healthcare and digital communications, maintaining contextually accurate, compliant, and human-like responses became increasingly challenging — especially for sensitive industries like pharmaceuticals and healthcare. AI models required clearer guidance on interpreting language nuances, medical terminology, and regulatory-safe responses.

Solution

I contributed to improving AI-driven operations and automation systems by:

Trained AI models to understand tone, context, and intent by labeling and categorizing real-world user interactions.

Collaborated with data and language teams to refine the model’s ability to detect compliance-sensitive content (e.g., adverse events, HIPAA-related terms).

Enhanced automation reliability by documenting data validation workflows and feedback loops between human moderators and the AI model.

Supported healthcare product operations by identifying automation opportunities in Zendesk and Smartsheet, reducing manual input errors and repetitive tasks.

Performance & Impact

Improved AI contextual accuracy and intent recognition by ~20% through consistent feedback and model refinement.
Ensured 100% compliance with pharmaceutical brand guidelines and FDA requirements in social media responses.
Reduced manual moderation volume by 15% through smarter tagging and auto-routing of AI-assisted responses.
Strengthened documentation and QA processes for AI-human workflows, ensuring audit-readiness and operational transparency.

"Improving the future of AI by creating a seamless conversation experience between AI and its users"

AI & Automation Support in Healthcare Operations