Aagam Shah is a Research Bioinformatician II based in Los Angeles with a decade of experience bridging software engineering, data science, and genomics. He specializes in high-throughput sequencing analysis and brings research-grade rigor from roles at Cedars-Sinai and Yale, combined with industrial data-science and engineering experience from Red Hat. His background includes contributions to open-source and community programs (Google Summer of Code with AnitaB.org) and an Android Developer Nanodegree, reflecting a curiosity that spans mobile, cloud, and computational biology. Known for turning complex biological datasets into reproducible analyses, he pairs strong engineering practices with a research mindset cultivated during postgraduate work in a wet-lab adjacent lab.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Engineering, 8.96, Bachelor's degree, Computer Engineering, 8.96 at L.D. College of Engineering
App for any large Systers events with 300+ attendees (i.e. conferences, celebrations, summits, etc).
Contributions:29 PRs, 76 comments in 1 year 1 month
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