I engineer scalable, cloud-based bioinformatics workflows using Nextflow, cutting analysis runtime from overnight to hours and automating processes to accelerate research timelines. Additionally, I collaborate with cross-site teams to design and implement components of a centralized internal database, facilitating data accessibility and aligning with broader organizational goals. To ensure reproducible workflows and seamless collaboration, I also support CI/CD pipeline best practices, version control, and rigorous documentation standards.

I developed a Nextflow-driven workflow management platform using Next.js and FastAPI, providing real-time progress monitoring, user-specific permissions, and intermediate result access for enhanced transparency. I also co-authored two patent filings, contributing to proprietary datasets and designing a scalable data management platform that significantly boosted research throughput. To optimize computational resources, I transformed the hybrid server architecture by integrating Slurm HPC clusters with centralized user authentication via LDAP. Additionally, I achieved a 40% reduction in projected AWS costs by optimizing S3 and Storage Gateway usage-maintaining high system availability without compromising performance.