Summary
Aigerim Bogyrbayeva is an Applied Scientist II with nine years of experience building ML and optimization systems that bridge research and production, now at Amazon. She holds a PhD from the University of South Florida and has led funded research programs—securing $350K—to apply reinforcement learning and attention-based models to real-world logistics and supply-chain problems. Her work reduced delivery times and unmet demand by double-digit percentages through novel encoder–decoder and multi-head attention architectures, and she has a track record of speeding planning algorithms by orders of magnitude. Aigerim also develops LLM agents and practical tooling (LangChain, ReAct-style prompting) to automate operations research tasks, improving LLM accuracy in applied workflows. She pairs academic rigor with production skills in PyTorch, Ray, Docker and AWS, and uniquely combines theoretical modeling with hands-on deployment for measurable operational impact.
9 years of coding experience
8 years of employment as a software developer
B.S., Industrial Engineering, B.S., Industrial Engineering at University of Michigan
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of South Florida
Kazakh, Russian, English