Full-stack engineer driving automation and data pipeline modernization using React, Python (Flask, SQLAlchemy), and SQL across large-scale genomic and clinical systems.
Designed and implemented end-to-end workflow automation for data registration, QC, and delivery, reducing manual processing by 70%+ and improving reliability across environments.
Built React-based front-end applications with Material UI and modular components, enhancing usability, performance, and visibility for lab and operations teams.
Developed and optimized backend services and data orchestration layers, integrating REST APIs, automated job scheduling, and dynamic routing for faster data delivery.
Automated data and delivery pipelines for multiple clients, integrating Python ETL jobs with REST APIs and SQL procedures to cut delivery turnaround from days to hours.
Collaborate cross-functionally with bioinformatics, product, and engineering teams to deploy scalable, production-ready releases that support precision health and genomics workflows.