- sped up 2 CI pipelines by over 5X- Created a 3rd CI/CD pipeline for Terraform deployments- Helped to set up a staging environment in GCP using Terraform- Built various infrastructure services using Rust, monit, and k8s- General support as needed with k8s and the infra stack as a whole

- served as a lead developer on multiple projects, including the Python library MLT (https://www.intel.ai/mlt-the-keras-of-kubernetes/), where I wrote most of the core deployment code- created the AWS deployment for a conference presentation of nlp-architect (https://github.com/NervanaSystems/nlp-architect)- transitioned into a pure DevOps role spanning multiple teams; built and managed the on-prem CI/CD infrastructure stack for an AI device plugin for Kubernetes and a lower-level AI chip software product- trickiest deployment: got the device plugin stack + k8s 1.15 working bare-metal using Ansible on an old Centos6 OS with a custom 3.10 kernel. Hyperkube/other tools weren't an option (no systemd allowed) so I wrote my own installer + sysvinit scripts to manage the individual k8s/etcd processes

- continued to work for Nervana (now called Intel Nervana) after their acquisition by Intel- worked on the cloud stack, built out new features and fixed bugs related to the AIasS platform.

- Hired for a very brief time at Nervana before they were bought by Intel- Backend Python dev working on the various microservices that made up our SaaS AI cloud product

I was a full-stack engineer at Wake. As one of the first engineering hires I was able to work on a large part of our product. I built Wake's HipChat and Flowdock integrations, most of their SSO service, pdf support, svg support, most of their email code, many internal admin tools, worked on searchbox, and have touched most of the other parts of their site (wake.com).Summary of tech used: PostgreSQL, Tornado, AngularJS, Celery, RabbitMQ, Redis

Develop employee web suite using Django with a small team, provide IT support for company employees as needed. Help with training new employees as well.

Found open source software and other websites to mirror using advanced google search and other sources to provide a larger presence on the web. Also pursued donation and sponsorship sites.Started work on a web crawler to gather data regarding the going rates for auto parts, and another crawler to gather data regarding auditing shipping companies.

Under the supervision of Dr. Gusfield I developed a custom web crawler for lectures, symposiums, and other related events within UC Davis, using Python and it's threading techniques.