I'm an AI/ML DevOps Enablement engineer at Roche/Genentech (via @Amaris Consulting), where I ship the infrastructure, CI/CD, and observability that let internal AI teams move fast without breaking things.

Recent work: authoring a Terraform onboarding pattern targeted for 35+ internal AI/ECS teams to self-serve Grafana Cloud; leading infra/CI/CD/observability for an internal agentic-platform pilot; shipping the Ensembl Data Expert (Custom GPT + Actions over the Ensembl REST API) recognized by OpenAI's enterprise partnership team; and building safe-agent-in-CI automations on Ona.

Range: 3+ years hands-on enterprise AI on OpenAI's stack (Codex, Codex CLI, Compliance & Analytics APIs, Custom GPTs, MCP), 5+ years cloud/DevOps, and a bioinformatics research background with a Nature Genetics paper (2019) and 176 total citations.

• 🇨🇦 Edmonton, AB, Canada
• 👨‍🎓 M.Sc. Bioinformatics, University of Calgary
• 👩‍🏫 Love teaching + enablement (recent: contributed to a program that onboarded ~5,000 members to an internal OpenAI Enterprise workspace)
• 🌱 Currently: Ona automation, MCP servers, Terraform patterns for AI infra
• 🏡 Off-hours: garden, backcountry split-boarding 🏂, stand-up paddleboarding 🛶

Enterprise AI: OpenAI Enterprise · Codex · Codex CLI · Compliance & Backend Analytics APIs · Custom GPTs + Actions · MCP ·Agent Builder · Ona (Gitpod)

Infrastructure: Terraform · AWS (ECS, EKS, IAM, CloudWatch) · Kubernetes · Docker · GitLab CI/CD · GitHub Actions · Linux

Observability: Grafana Cloud · Datadog · DogStatsD · CloudWatch · synthetic monitoring · service checks · alert design

Languages: Python · SQL · R · Bash · FastAPI · REST/OpenAPI

Domain: Enterprise AI at global-pharma scale · scientific / regulated data systems · genomics · multi-omics