Summary
Zhilin Huang is a software engineer with nine years of experience building data-driven systems and scalable services, currently at Amazon in Virginia. He blends a computational biology background from Carnegie Mellon with hands-on engineering at Arcadia.io, where he worked on data integration and software delivery. His research work automated processing of massive genomics datasets and delivered a neural-network‑based cell type classifier, reflecting strong skills in data pipelines, visualization (D3.js) and AWS deployment. At Amazon he applies that foundation to production-grade software at scale, pairing rigorous engineering with domain knowledge in large-data workflows. Colleagues describe him as pragmatic and technically curious, comfortable moving between research-proof concepts and reliable operational systems. He seeks a full-time role that leverages his cross-disciplinary experience to increase long-term product value.
9 years of coding experience
3 years of employment as a software developer
Master of Science (M.S.), M.S. in Computational Biology, Master of Science (M.S.), M.S. in Computational Biology at Carnegie Mellon University