Raytheon Missile Systems classified and unclassified work. Windows, Azure, Git, Bash, software/hardware stuff.

C#, Azure DevOps (HARM)

GitLab, VxWorks, real-time embedded, C/C++, Ada, (RAM/SeaRAM). Also some stuff for Phalanx.

Modeling Systems and Analysis (Kill Chain Modeling & Analysis)

• Build threat models (Python, C/C++, bash, VSCode, etc.)

• Run tens of thousands of scenarios using high performance grids

• Feed data into neural networks for training & then later inference

DevOps and SRE tools such as TravisCI, Jenkins, Artifactory, Bash, LInux, Kubernetes, Docker, OpenShift, Grafana, PagerDuty. Deploy patches, fixes, and updates to existing Kubernetes clusters clients use for the Blockchain TradeLens.

Co-owned Blockchain between IBM, Maersk.

https://www.tradelens.com/

Hybrid Cloud Build Team - Terraform, HCL, Linux, Bash scripting, Infrastructure as Code (IAC), deploy Red Hat OpenShift & Kubernetes clusters, and IBM Cloud Pak installation automation. In my role I'm able to help non-IBM partners (GSI, ISV) find easier, more open source ways to install, deploy, and use Cloud Pak software on OpenShift/Kubernetes clusters - regardless of the cloud company they want to use. ex. Cloud Pak for Data installed and deployed on an OpenShift cluster inside either IBM Cloud, AWS, Azure, or Google Cloud Platform (or quite frankly anywhere, including on-prem). The flip side of that is I also work regularly with partners to streamline getting their existing 3rd party software developed, validated, deployed, and then On-boarded to IBM Cloud Catalog.

https://github.com/ibm-build-lab

Cloud Native DevOps Engineering, and Full-Stack Development for Oracle's GBU Cloud Reliability Services using Oracle Cloud Infrastructure (OCI), Kubernetes, Artifactory, Linux, Docker, Git, Javascript/Typescript, Python, OJET, OpenAPI, OAuth, Jira, Confluence, and Gitlab for CI/CD pipelines. Working on tying in multiple existing open source DevOps tools into one web application deployed using microservices, where data can be gathered & used to optimize performance tuning - possibly with deep reinforcement learning (AIOps).

Consumption Insights - CIO/CFO internal chargeback application development and data analytics for all of IBM. Mostly Spark / Scala / SQL (w/Zeppelin), Linux, some containers / containerization, DevOps, and cloud computing, OpenShift, and extensive, daily use of Jira with Scrum / Agile. We are working towards building a robust machine learning model for financial consumption data for all of IBM CIO/CFO, and are currently in the data preparation phase.

DS8000 Microcode - Build, automation, & tools / DevOps Developer. Mostly Systems Programming and some System Admin type work. Supervising many build servers, repositories, shell scripting tools development (python, perl, bash, korn, both Linux & AIX), responsible for overseeing creation of new product release bundles for the DS8000 High-end, Enterprise Servers. My availability for this role is mostly 365/24/7. I work daily with multiple development teams spread across several states, as well as developers in India, Europe, China & Mexico. Existing DS8000 clients include 18 out of 20 of the largest banks in the world (JPMorgan Chase, HSBC, etc.).