Automated PHI de-identification for medical datasets and clinical research.
Clinical research requires PHI de-identification. Manual redaction is slow and error-prone. Most automated tools miss contextual identifiers or over-redact, destroying data utility.
De-id.org uses NLP to intelligently strip identifiers while preserving medical meaning. Built for researchers who need compliant datasets, fast.
Domain expertise in Healthcare. Systems built for scale without overengineering. Pragmatic tech choices that ship.
Detailed technical schematics and documentation for De-id.org are proprietary and available upon request for deep-dive discussions.
Technical constraints forced creative solutions. We optimized for Healthcare from day one, which meant rethinking architecture at every layer. Shipped incrementally, validated with real users, and scaled what worked.
Delivered on scope, timeline, and technical requirements
SaaS margin lives in simplicity. Cut scope aggressively, automate everything, and let pricing scale with value delivered.
I'm drawn to hard problems at the intersection of emerging technology and human behaviour especially in spaces that are ripe for disruption powered through innovation.