Arefin Shahrear is a software engineer with 11 years of experience building and optimizing large-scale distributed systems, currently contributing at Amazon from New York. He has a proven record at J.P. Morgan of driving impactful efficiency gains—reducing session connections by 250x, saving ~1TB of server space, and cutting venue downtime by two-thirds—while architecting firmwide automation used by over 3,000 applications. An educator as well as an engineer, he teaches Python and Java as an adjunct lecturer and mentors students on tech research projects, blending practical production experience with curriculum design. His background includes open-source contributions during Google Summer of Code and data-focused research for NOAA through an NSF REU, reflecting a mix of systems engineering and scientific data processing. With an MBA in Information Systems and a valedictorian computer systems bachelor’s degree, he pairs technical depth with business and teaching acumen to deliver measurable operational improvements.
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