Primary language for professional model development. Author of multiple Data Science and database packages.

Secondary language for professional work. Experience interfacing with cloud infrastructure and high-performance machine learning libraries (e.g., PyTorch and TensorFlow).

Early adopter of model API micro services bringing Data Science off the whiteboard and into business applications. Active community member.

Long history of profiling and optimizing Data Science code for high performance multi-threaded applications. Knowledge of GPU computing frameworks such as OpenGL, CUDA, TensorFlow, and ArrayFire.

Experience with collaborative git-based development and related development platforms such as GitHub and GitLab. Familiar with open source community management.

Operating system of choice at home and work. Strong believer in the power and legacy of free(dom) software.

Primary cloud provider for hosting compute environments and deploying Data Science products. Proponent of Infrastructure-as-Code.

Primary containerization software used for reproducible cloud-based model deployments. Experience managing image repositories (e.g., AWS ECR).

Capable of deploying and managing applications on Kubernetes. Experience building and optimizing cluster configurations natively and on cloud provider platforms (e.g., AWS EKS).

Extensive experience with Posit’s commercial offerings: RStudio Desktop, Posit Workbench, Posit Connect, and Posit Package Manager. Experience administrating commercial product cloud deployments.

Basic C++ programming knowledge for interacting with operating system APIs and other libraries.

Understands the utility in non-technical tools for communication and collaboration. Familiar with VBScript usage and alternatives such as LibreOffice.