At Multiverse Computing, I designed database schemas for an enterprise SaaS platform and built data observability infrastructure with Grafana and Loki. I also developed SQL transformations and REST API integrations to support platform analytics and data quality.
On a project-based engagement with Knowlepsy, I optimized ETL pipelines for clinical biosignals and patient data, reducing delivery latency by 20%. I integrated Azure SQL data into a FHIR server and automated Python workflows that reduced manual effort by 20%.
At ADP, I managed payroll system implementations for enterprise clients and built reporting dashboards using Excel and SQL. Earlier, as a Graduate Researcher at Shanghai University, I developed Python and MATLAB data pipelines and ML models; my first-author research in Frontiers in Computational Neuroscience reported 87% diagnostic accuracy.
