Devashish Das
Staff Machine Learning Engineer at Metropolis Technologies
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolDevashish Das is a Staff Machine Learning Engineer and technical lead based in Seattle with 14 years of experience building large-scale applied AI systems. He leads core ML capabilities at Metropolis Technologies, focusing on pricing optimization, customer behavior modeling, and strategic growth across legacy and emerging verticals. With a PhD in Industrial Engineering from UW–Madison and a background in anomaly detection and system-level KPI optimization, he blends rigorous research with hands-on deployment of cloud-hosted ML solutions. Devashish specializes in causal inference and experimentation and is actively extending causal ML methods to power LLM-driven applications and long-horizon decisioning. Colleagues rely on him to translate academic ideas into production-ready systems that drive measurable business impact.
14 years of coding experience
Doctor of Philosophy (PhD), Industrial Engineering, Doctor of Philosophy (PhD), Industrial Engineering at University of Wisconsin-MadisonBachelor of Technology (BTech), Bachelor of Technology (BTech) at Indian Institute of Technology, Kharagpur
English, Odia, Hindi
Github Skills (112)
ubuntu10
scheduling10
kubernetes10
build-script10
go10
installer10
nodes10
docker10
mesos9
kermit9
terraform9
infrastructure9
kubernetes-monitoring9
docker-image9
rubinius9
Programming languages (9)
Github contributions (5)
ric03uec/infra
May 2018 - Sep 2018
Contributions:27 commits, 32 pushes, 1 branch in 3 months
Shippable/admiral
Mar 2017 - Jan 2019
Shippable UI based Installer
Contributions:5 releases, 920 commits, 710 PRs in 1 year 10 months
shippableinstaller
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