Led the design and creation for the MVP of PatientApi, a platform-level patient matching and information storage service. PatientApi uses Always Encrypted with Secure Enclaves for enhanced security while minimizing impact with respect to latency.Created and managed the infrastructure, CI/CD, deployment, and encryption keys. provided production support using Azure Application Insights for logging and monitoring, Helm for rollbacks, and Docker and Kubernetes for container orchestration.Onboarded a team of three engineers, a manager, and a product manager for the service, transitioning to a team-oriented role, continuing to develop features, participate in architectural discussions and provide production support.Developed a key feature for Loyal’s scheduling product that enabled viewing and scheduling any provider within a department for health systems using Athena’s EHR.Led the backend design and development of a service that enabled updates to individual client configurations for provider taxonomy (specialties, treatments, conditions) in a push and approve/deny flow utilizing Kafka.

Created automated ETL pipelines from various sources to cloud-hosted databases, complete with validation, logging, monitoring.Contributed to back-end development and debugging for core data service.Facilitated customer success by consuming ad-hoc data to further strengthen customer product experience (primarily python).

Helped guide product development of a suite of 10 quantitative fixed income ETFs seeded at $200MN by quantifying competitor positioning through machine learning methods such as PCA, clustering, and regression (R). Automated data pipelines and dashboards for investment teams to create insightful and flexible views on demand (R, SQL). Message salable stories for funds by sharing team research via whitepapers, pitch books, live presentations, and daily messaging.

Modeled highly structured CDO deals with various tranches and payout strategies to project cash flows for tax accounting purposes. Automated manual accounting true-ups, saving ~70 hours of team weekend work monthly. Implemented a novel logit model of default as given by Campbell, Hirscher, and Szilagyi to provide a quantifiable assessment of vendor counterparty risk.