Seattle, Washington, United States
Software Engineer with extensive experience in large-scale distributed systems, real-time infrastructure, AI/ML Integrity, developer infrastructure, and electronic healthcare records application. Proven track record in system design/architecture, full-stack development, ML feature engineering, data pipeline implementation, CI/CD metrics optimization, and platform/infrastructure tooling.
- Developed and evolved real-time infrastructure powering user presence (Active Status) for billions of users across Facebook, Messenger, Instagram, and Oculus, with strict latency and availability requirements. - Designed and built a large-scale integrity signal platform processing millions of ads and posts, specializing in ML feature engineering for text, image, and video signals used in harmful content detection models. - Architected and launched a centralized GenAI Integrity platform leveraging ML models to enable automated detection and mitigation of policy-violating content for generative AI products across Meta. - Built data pipelines and optimized CI reliability metrics (e.g., %Unreliable Diff Version, Fix Rate, Bypass Rate), improving efficiency and signal quality across Meta Developer Infrastructure teams.
- Designed and developed core components of Epic’s Patient Administration System within the Electronic Health Records (EHRs) products, collaborating with cross-application teams and healthcare customers in the patient access area throughout the software development lifecycle. - Delivered full-stack features end to end for patient administrative system application, including database schema design, backend services with business logic, and user-facing web interfaces. - Modernized legacy workflows by migrating them to web-based architectures, improving maintainability and user experience for administrative and patient access processes. - Designed and implemented high-performance data conversion utilities to migrate legacy datasets into more efficient and customized data models.