Cloud Infrastructure & DevSecOps Engineer at Zeta Associates
Washington DC-Baltimore Area United States
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Summary
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Senior
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Top School
Austin Trinh is a cloud and machine learning-focused software engineer and current Cloud Systems Research Assistant at LiftLab with nine years of hands-on experience across academia and industry. Pursuing an MSCS at Georgia Tech after double-majoring in Computer Science and Applied Statistics at UVA, he blends systems engineering with data-driven research. His background spans cloud infrastructure, automation, and ML education research, with practical roles from Cloud Infrastructure Engineer to Software Engineer and Data Scientist. Based in the Washington DC–Baltimore area, he has moved between research labs and fast-paced engineering teams, shipping tools that bridge teaching, experimentation, and production workflows. Notably, he has supported ML coursework as an undergraduate TA while contributing to cloud research projects, signaling a rare mix of pedagogy and systems development. He brings a pragmatic, research-informed approach to building scalable, observable cloud systems that support ML workflows.
9 years of coding experience
1 year of employment as a software developer
M.S. Computer Science Computing Systems Specialization, M.S. Computer Science Computing Systems Specialization at Georgia Institute of Technology
Advanced Academy of Engineering and Technology ITCS Pathway, Advanced Academy of Engineering and Technology ITCS Pathway at Academies of Loudoun
Advanced Studies High School Diploma, Advanced Studies High School Diploma at Loudoun County High School
B.S. Computer Science | B.A. Applied Statistics Data Science Concentration (Double Major), B.S. Computer Science | B.A. Applied Statistics Data Science Concentration (Double Major) at University of Virginia
Contributions:64 pushes, 1 branch in 1 year 3 months
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