Founder & Lead AI Engineer at U.S. Air Force Reserve
New York, New York, United States
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Summary
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Senior
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Top School
Evaristus Ezekwem is a founder and lead AI engineer with nine years of experience building production-grade ML systems and automation for e-commerce and enterprise customers. He combines hands-on model development and MLOps at scale—having shipped real-time tracking models at Meta and ML infrastructure at Amazon—with a founder’s focus on automating tedious workflows to unlock predictable revenue growth for online businesses. At Wakflo he mentors multidisciplinary teams and built a natural-language-driven workflow generator and AI agent systems deployed on cloud platforms. His background spans research and teaching in responsible data science, large-scale multimedia pipelines, and operational roles in the U.S. Air Force Reserve, reflecting a blend of rigor, discipline, and product impact. A practicing Christian who emphasizes helping people and organizations surpass their potential, he pairs technical depth with a clear mission to remove manual bottlenecks for growing e-commerce brands.
9 years of coding experience
4 years of employment as a software developer
Master of Data Science Data Science, Master of Data Science Data Science at New York University
B.Eng Electrical and Electronic Engineering, B.Eng Electrical and Electronic Engineering at University of Port Harcourt
AEPsych is a tool for adaptive experimentation in psychophysics and perception research, built on top of gpytorch and botorch.
Contributions:22 pushes, 2 branches in 16 days
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Evaristus Ezekwem - Founder & Lead AI Engineer at U.S. Air Force Reserve