Driving impact across AI, data platforms, and healthcare ecosystems.
I turn fragmented enterprise systems into scalable, revenue-driving products — from AI-powered semantic search to foundational data platforms powering entire digital ecosystems.
12+ years delivering 0→1 and scaled products across healthcare, fintech, and global CPG — operating at the intersection of data, infrastructure, and business strategy.
Engineering-trained. Outcome-obsessed. Human-centered at every step.
I specialize in turning fragmented data, workflows, and incentives into cohesive product systems that drive measurable business outcomes.
My work sits at the intersection of AI, data infrastructure, and enterprise platforms — where complexity is high, alignment is rare, and the cost of poor product decisions is significant.
I lead cross-functional teams of 20+ across engineering, data science, clinical, and business functions — bringing clarity to ambiguous environments where direction matters more than velocity.
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Each project reflects not just execution, but the decisions, tradeoffs, and strategy behind delivering measurable impact at scale.
A legacy keyword-based search system limited discoverability across 2,600+ providers in 19 states — failing to capture the complexity of provider expertise and user intent. This resulted in low search relevance, missed patient-provider matches, and lost appointment opportunities and revenue.
Platform traffic growth
Search-to-conversion lift
Patient satisfaction improvement
Earlier alignment between clinical taxonomy and embedding models would have reduced iteration cycles. I would now front-load domain-specific data modeling before scaling AI layers.
Fragmented data systems across patient and provider applications limited scalability, consistency, and cross-product innovation. Teams were rebuilding integrations independently, creating a maze of technical debt with no shared source of truth.
Prioritized a FHIR-based standardization approach to ensure interoperability and long-term scalability across systems. This was a harder short-term path — but created compounding leverage across every downstream product decision.
Enabled unified data access across applications, unlocking faster product development and system-wide consistency. Became the foundational layer powering AI search, payer integration, and future digital products across the ecosystem.
Disconnected payer-provider workflows created friction in scheduling, data exchange, and patient experience. Aligning a complex multi-organization environment required equal parts product clarity and stakeholder leadership.
Aligned technical integration with workflow-level UX improvements, not just backend connectivity. Drove accountability across a complex multi-organization environment, ensuring the integration created real patient and operational value — not just a data pipe.
Improved scheduling efficiency, reduced friction in cross-system data exchange, and strengthened the strategic partnership value between both organizations. Foundation set for future payer collaboration at scale.
Revenue management was fragmented across markets, relying on manual pricing decisions. The goal: build an ML-driven platform centralizing pricing intelligence and scaling across international operations.
Revenue management efficiency
Faster data onboarding
Multi-market delivery
Led product through the merger of two platforms into a unified experience. Needed to reconcile two product architectures while shipping a global compliance module on a tight timeline.
Market share growth post-launch
Countries with compliance coverage
Unified platform launch
High commercial card attrition was eroding revenue. The bank needed a data-driven approach to proactively identify at-risk accounts and drive loyalty at scale.
Attrition reduction
Engagement growth
Most Valuable Employee — 2016
Principles that guide every decision, tradeoff, and conversation.
From Istanbul to Brussels to Texas — always building what matters.
Engineering by training. Product by calling.