Nicholas Kullman
Research Scientist at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolNicholas Kullman is a research scientist specializing in operations research and AI with 11 years of experience applying optimization, simulation, and deep reinforcement learning to real-world logistics problems. He currently drives middle-mile routing efficiencies at Amazon after leading OR efforts at Facebook and earning a PhD focused on sustainable transportation and EV logistics. A pragmatic coder and solver, he pairs commercial solvers (Gurobi/CPLEX) and Python ML stacks (TensorFlow/Keras) with simulation and visualization to deliver end-to-end analytic products. Nicholas is also an inventor with 25+ patents and a history of translating academic MDP and stochastic-optimization research into production-ready policies and agents. Unusually, his background spans physics, forestry/resource management, and telecom engineering, which gives him a broad systems perspective on constrained, data-driven decision problems.
11 years of coding experience
8 years of employment as a software developer
Master of Science (M.S.), Quantitative Ecology and Resource Management, Master of Science (M.S.), Quantitative Ecology and Resource Management at University of WashingtonDoctor of Philosophy - PhD, Operations Research, Doctor of Philosophy - PhD, Operations Research at Université de ToursUniversity of Missouri
Stackoverflow
171reputation
2kreached
2answers
0questions
Github Skills (14)
logistics9
solver9
crossword9
4g9
vehicle-routing-problem8
lte8
datetime6
statistics6
python6
dataframe6
datasets6
machine-learning2
cplex1
data-processing1
Programming languages (2)
Github contributions (5)
nkullman/nkullman.github.io
Jul 2015 - Aug 2022
Contributions:138 pushes, 2 branches, 9 comments in 7 years 2 months
nkullman/QERMCollaborations
Aug 2015 - Sep 2017
Contributions:20 PRs, 44 pushes, 5 branches in 2 years
reallypythonmachine-learninginterdisciplinary
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