Created a Graphql Spring server in Kotlin to trigger Temporal Workflows. Deployed via Harness onto AWS ECS instances and monitored traffic via distributed tracing using Datadog APM.

Coordinated with compliance and investment stakeholders to build a data ingestion pipeline and scheduled jobs for securely fetching customer SSNs to satisfy FINRA CAIS regulatory requirements, all within a short 2 month notice.

Built a data pipeline of 28 different models using Airflow, DBT, and Datadog to monitor and alert on invalid customer states, exposing incidents requiring time-sensitive remediation.

IEEE International Conference on Acoustics, Speech and Signal Processing 2023 paper submission accepted: "InfoShape: Task-Based Neural Data Shaping via

Designed and implemented a novel Lagrangian optimization scheme for a neural network encoder with a mutual information estimator, ReMINE (Choi et. al.), using Pytorch, NumPy, and sklearn

Empirically demonstrated InfoShape's ability to shape synthetic data to achieve both a 35% decrease in privacy leakage and a utility score increase by a factor of 5.1