Building the AI Neurologist — a real-time EEG ischemia detection platform for OR/ICU neurological monitoring. Leading ML modeling, EEG pipelines, cloud architecture, and early clinical partnerships.

Co-founded CurieAI and led the engineering, product, data, and infrastructure efforts that powered a clinically used AI healthcare platform. Owned the full lifecycle from vision → architecture → delivery across remote patient monitoring, respiratory analytics, and clinician workflows.

Led the creation of a HIPAA/SOC2/HITRUST-compliant, cloud-native platform built using Kubernetes, Docker, microservices, and AWS. Architected multi-tenant, real-time data pipelines supporting continuous patient monitoring and ML inference. Scaled the system to thousands of active patients and multiple clinical partners.

Drove the product roadmap in collaboration with clinicians, founders, and cross-functional teams. Defined feature priorities, ran experiments, and translated clinical requirements into ML-driven product capabilities. Partnered with design, compliance, ML, QA, and operations to deliver high-impact solutions with strong usability and reliability.

Managed engineering execution across distributed teams. Established engineering processes, sprint management, DevOps automation, and CI/CD pipelines to accelerate delivery. Introduced privacy-by-design principles across the organization, ensuring GDPR, CCPA, HIPAA, and security alignment.

Collaborated with ML teams to deploy predictive models for respiratory deterioration, patient risk scoring, and alerting workflows. Built data ingestion and annotation pipelines to support model iteration and clinical validation.

Key achievements:

• Launched a production healthcare platform adopted by thousands of patients and multiple clinical teams.

• Improved patient engagement by 30% through privacy-centric UX and ML-driven design improvements.

• Reduced feature deployment time by 25% through process and architectural modernization.

• Built a resilient, scalable foundation that enabled CurieAI to operate in regulated healthcare environments.

Led privacy-first product development for enterprise and consumer applications.

Partnered with global stakeholders to build scalable, secure network connectivity systems.

Developed enterprise-grade security solutions, integrating data protection, encryption, and access control mechanisms.

Designed consumer privacy frameworks for network security applications.

Key Achievements:

Developed privacy-enhancing security solutions adopted by major enterprise clients.

Improved system scalability, security, and performance, ensuring compliance with industry standards.