
  Location: United States (Denver)
  Remote: Yes
  Willing to relocate: No
  Technologies: Python (Django, pandas, numpy, sklearn, xgboost), Linux, DevOps(GCP, Kubernetes, Docker, Helm, Terraform), SQL
  Résumé/CV: https://drive.google.com/file/d/1Qplz4HQEYyFb0ItKODPN2FleGjHQIrEK/
  Email: REDACTED_EMAIL

I’m a Python engineer with API development, data science, and DevOps experience that loves working at the intersection of these fields to turn ideas into production products. I’m currently completing a Masters in Computational Data Analytics at Georgia Tech.
For the last eight months I've been CTO and co-founder at a startup I founded with a few co-workers after the last startup we were all working at shut down due to impacts from COVID. We released an iOS and Android app in September, but I am looking to move back into an employee role where I can focus on solving technical problems rather than running a startup.
Prior to my startup I was the second employee at another startup creating enterprise analytics software. I spent multiple years working in a hybrid backend engineering, data science, and devops role where I developed machine learning models and REST APIs and deployed them on Kubernetes using SQL and noSQL databases on GCP. I was heavily involved in the full implementation cycle from ideation, development, testing, deployment, and maintenance.
I am looking for a full time backend or data science role (ideally a bit of both!) in Denver or Remote. I have been fully remote the last 8 months and discovered I work very well in that environment.