Summary
Martin Li is a software engineer with nine years of experience specializing in site reliability and backend services, currently building resilient systems at JPMorgan Chase while pursuing a Master's in Computer Science (Machine Learning) at Georgia Tech. He has a strong practical background modernizing APIs and data pipelines using Java, SQL, Cassandra, and Kafka, and experience automating secure file transfers and operational workflows in Red Hat environments. Earlier roles include designing a data-visualization dashboard that cut outsourced QA costs by 15% and improving web app performance, demonstrating a focus on measurable impact. Comfortable across the stack—from infrastructure automation and SRE practices to frontend dashboards—he pairs pragmatic engineering with an emerging ML orientation. Based in Dallas, Martin blends enterprise-scale reliability work with academic rigor, positioning him to bridge production systems and machine learning deployment. An unassuming problem-solver, he often surfaces efficiency gains through scripting and process improvements that quietly reduce operational risk.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at City College of the City University of New York