Experience
More than a year on an ML platform team, first at CARFAX and then at Mobility Global after it separated from S&P Global. My focus has been monitoring and logging, SLA alerting, the GitOps deployment pipeline, and access controls for the platform that serves our production models.
Work
Mobility Global
ML Platform Engineer (Associate, Part-Time)
Sep 2026 – Present- Standardized SLA monitoring across 20+ NVIDIA Triton model deployments with a reusable Helm template built on Grafana Operator CRDs, AWS SNS (via ACK), and PagerDuty, replacing team-specific configurations.
- Migrating model telemetry off Python sidecars onto Envoy AI Gateway route metrics, so services get gateway-native telemetry without per-service instrumentation.
ML Platform Engineer Intern
May 2026 – Aug 2026- Fixed recurring pod scheduling failures by correcting kubelet eviction and ephemeral storage settings across 3 CPU and 4 GPU EKS node classes.
- Root-caused a silent misconfiguration that had zeroed every SLA rule, then made per-model p95 latency and availability queryable in constant time with Prometheus recording rules.
- Split Grafana out of a monolithic LGTM umbrella chart into an independently versioned deployment, migrating 11 tenant organizations across 2 production environments with zero dashboard or datasource loss.
CARFAX
MLOps Intern
Sep 2025 – Apr 2026- Cut platform spend by $66K/year (9%) by profiling telemetry collectors and reducing observability overhead 70%.
- Removed cross-account deploy risk across 9 clusters with a context-switching CLI. Recognized with an Intern Spotlight.
- Built Grafana multi-tenancy that isolates logs, metrics, and traces for 8+ tenant organizations using Grafana Alloy tenant routing, per-tenant Mimir and Loki storage, and Okta-governed RBAC. Wrote the design doc comparing two auth architectures that settled the team's approach.
- Unblocked the launch of a DistilBigBird transformer model by extending the Python Triton request broker to return binary tensor encoding, since FP16 outputs couldn't be sent as JSON.
- Closed an audit gap on model registration by propagating OIDC identity from Flyte pods through the Kubernetes Downward API into the MLflow client, so every registered model is attributable to a real user.
Long Branch Neighbourhood Association
Mobile Front End Developer
May 2020 – Aug 2020- Built the cross-platform UI for a community trails app in Flutter and Dart, which reached 2,700+ organic downloads and a 4.4-star rating across 250+ ratings on iOS and Android.
- Integrated interactive Google Maps navigation for 3 hiking trails, drawing 3,500+ interactions from a community of 10,000+ residents.
Leadership
Western Computer Science Undergraduate Society
Vice President
Sep 2026 – Present- Scaled technical programming to 4 workshops of 15–30 students each, including one co-delivered with an OpenAI engineer, by hiring 5 directors and handing each of them ownership of an event.
- Created a workshop on using Claude Code in day-to-day developer workflows.
Education
Western University
Expected Dec 2026
Certifications
- AWS Certified Cloud Practitioner
- IBM Systems (Intermediate)
- IBM Systems (Advanced)
- AWS Solutions Architect Associate (in progress)
Skills
- Languages
- PythonGoC++HCL (Terraform)SQLPromQLYAMLBash
- ML serving
- NVIDIA Triton Inference ServerMLflowFlyteEnvoy AI Gateway
- Infrastructure
- Kubernetes (EKS)KarpenterDockerAWS (EC2, S3, IAM, RDS)TerraformArgoCDHelm
- Observability
- PrometheusGrafanaGrafana AlloyMimirLokiTempoOpenTelemetry