Andrew Wong is a Python developer and backend engineer with 8 years of experience and a strong academic foundation (MS and BS in Computer Science from NYIT) who specializes in distributed systems, databases, and mathematical wave simulations. He combines practical software engineering—optimizing iterative simulation code for 60% faster execution—with applied mathematics, using Julia and MATLAB to model 2D/3D wave propagation for non-destructive material testing. Comfortable across cloud and local data stacks, he builds data-driven tools (currently a typing-improvement app) and leverages statistical analysis to turn complex datasets into actionable insights that improve business and educational outcomes. As an instructor he translated student performance data into targeted interventions that measurably raised class engagement and grades, and he’s presented his research at mathematics conferences linking simulations to real-world engineering applications.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, 3.90/4.00, Master of Science - MS, Computer Science, 3.90/4.00 at New York Institute of Technology
High School Diploma, High School Diploma at Stuyvesant High School
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