Cambridge, Massachusetts, United States
Part of NASA ADS team.
• Optimized and scaled backend microservices powering NASA’s Astrophysics Data System (ADS), enabling search and retrieval across 30M+ scientific records.
• Re-architected PDF generation workflow, cutting processing time by 10x and improving reliability under high load.
• Enhanced and optimized large-scale ingestion pipelines for research metadata, improving system performance, reliability, and scalability.
• Built and maintained APIs supporting data-intensive pipelines, improving latency and throughput for end users.
• Drove infrastructure modernization by deploying services to Kubernetes clusters and enforcing GitOps practices with ArgoCD.
• Improved production resilience with proactive monitoring, logging, and performance tuning using Grafana and Graylog.
• Authored RFCs and defined architecture for new ingestion systems, driving cross-team alignment and long-term maintainability.
• Partnered with researchers and engineers to troubleshoot cross-service issues and ensure accuracy of scientific data delivery.