• Own deployment, availability, reliability, performance and customer escalation targets for complex and data-intensive cloud services supporting FDA approved AI powered medical devices.
• Designed and implemented a scalable, production-grade data ingestion pipeline on Google Cloud Platform (GCP) using Cloud Dataflow, enabling automated deidentification and cataloging of 1.67PB of medical images for AI model training. Ensured pipeline reliability, compliance with HIPAA, and downstream integration with ML platforms.
• Led an initiative to run AI inference on AWS Lambda, achieving improved scalability and a 23% cost reduction compared to previous EC2-based solution.
• Built and maintained a comprehensive dashboard to continuously monitor the uptime and health of all critical systems, ensuring real-time visibility into system performance. Integrated the dashboard seamlessly with Okta for secure user authentication and access control, and with PagerDuty, enabling automatic incident alerting and rapid response to system issues.
• Led the implementation of OpenID Connect (OIDC) for AWS authentication for all CI jobs across the entire organization, successfully eliminated the practice of storing static credentials in environment variables, significantly enhancing security posture and reducing the risk of credential exposure.
• Constructed an automated CI/CD pipeline that utilized AWS CodeBuild and EC2 Image Builder, creating and managing AMIs essential for deploying immutable application servers.
• Resolved sophisticated customer concerns and technical issues through meticulous research and reproduction.
• Installed and configured the PerformanceBridge radiology analytics platform and supporting systems running on Linux (Multi-distro) and Windows Server 2019.
• Automated recurring configuration tasks, created procedural documentation, and provided training to colleagues.
• Successfully facilitated the expansion of the product into the EMEA and APAC regions by performing necessary configurations and installations for a variety of clients:
- medneo GmbH
- King Faisal Specialist Hospital Saudi Arabia
- Chiba University Hospital
• Developed high performance cloud based biobanking and laboratory automation applications.
• Won employee Key Strategy award for contributions to COVID-19 projects.
• Successfully streamlined and improved the effectiveness of COVID-19 testing and reporting, as well as increased efficiency and reduced error rates for global biobanking processes.
• Designed a sample lineage interface for the UK NHS COVID-19 system, enabling the processing of hundreds of thousands of tests per week.
• Developed a sample normalization workflow for Curative Korva Labs COVID-19 system, which conducted 20% of all tests in California, and integrated with state and local public health departments for reporting results.
• Worked on a broad spectrum of Rails based projects for clients such as Roche and the National Institute of Health.
• Reduced sample turnaround times for many clients from weeks to hours.
• Designed integrations with hardware devices and software APIs:
- Scientific instruments (ASTM E1394)
- Billing interfaces (HL7)
- Payments systems (Stripe)
- EHR/EMR systems (Epic)
- Insurance preauthorizations
• Designed and created analytic tools for the post acute care industry.
• Built web scrapers to collect plan data from state health insurance exchanges.
• Rebuilt Tableau based product using open source software and on demand cloud solutions, lowering costs by 50%
• Designed and developed a medical sample inventory application for an Android RFID reader.
• Performed integrations with various hardware devices.
- Barcode readers
- Signature pads
- Robotic freezers