Ziang Jia
Indianapolis, Indiana, United States
Summary
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SeniorZiang Jia is an AI Solution Architect with a decade of experience designing pragmatic AI and big data systems that prioritize ROI, interpretability, and maintainability. He has progressed from data scientist roles to principal architect positions at Resultant and now 3Cloud, blending statistical rigor from a Columbia M.A. in Statistics with MBA-informed business judgment. Ziang is particularly focused on the trade-offs between model precision and operational cost—favoring interpretable models and cost-aware infrastructure decisions that avoid hidden long-term maintenance expenses. His background spans building scalable J2EE and Spark/Hadoop systems, geo-clustering solutions for large populations, and productionizing ML at enterprise scale. Based in Indianapolis, he shares lessons and case studies on practical AI trade-offs in his Medium writing, reflecting a curiosity for turning technical insights into better business decisions.
10 years of coding experience
Github Skills (31)
jupyter9
jupyterlab9
docker-run7
azure6
aws6
gcp6
terraform6
terraform-provider5
databricks4
jupyter-notebook3
r3
jupyterhub3
ipython3
large-scale3
java2
Programming languages (6)
Github contributions (5)
ksmc/management-guidance
Nov 2018 - Jul 2022
Contributions:7 commits, 6 pushes in 3 years 8 months
ksmc/docker-stacks
Aug 2019 - Sep 2020
Ready-to-run Docker images containing Jupyter applications
Contributions:2 PRs, 50 pushes, 8 branches in 1 year 1 month
jupyter-notebookdockerjupyterlabready-to-runjupyter
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