key outcomes

Projects

Platforms architected from zero to production across enterprise engagements. See the skills behind them or the full career timeline.

AI-Native FinOps Platform

Multi-cloud cost optimization with agentic AI remediation

Before

Cloud spend was tracked in spreadsheets. Engineering teams had no visibility into waste, and cost reduction required manual toil across AWS and GCP.

After

Architected an AI-native FinOps platform on Amazon Bedrock - multi-cloud scanning, Claude-powered agentic remediation, gamification dashboards, and CI/CD cleanup pipelines. The platform identified $2M in annual savings for a Fortune 500 enterprise with zero manual intervention; a further $5M came from RDS right-sizing, S3 Intelligent Tiering, and KMS batch processing, for $7M+ documented in total.

$2M identified by the platform
$5M from adjacent programs
$7M+ documented in total
Agentic AI remediation
AWS BedrockClaudeFastAPIPythonGCPRBACSSO

Internal Developer Portal

Backstage.io at Fortune 500 scale - onboarding from 4 weeks to 3 days

Before

Engineers waited 4 weeks to get a new service into production. No golden paths, no self-service, no visibility into ownership or health across the org.

After

Led architecture of a Backstage.io-powered Internal Developer Portal adopted across Fortune 500 enterprises in gaming, semiconductor, telecom, and consulting. 300+ templates, plugin marketplace, and sub-second scaffolding. Separately, I contribute upstream to Backstage itself - Spotify's developer portal, a CNCF incubating project used by 20M+ developers at companies including Mercedes-Benz, Netflix, Vodafone, DAZN, American Airlines, Expedia Group and Marks & Spencer.

10,000+ engineers
Backstage upstream (20M+ devs)
3-day onboarding (from 4 weeks)
DORA metrics improvement
Backstage.ioReactTypeScriptKubernetesGitOpsSpotify partnership

Data Platform Modernization

Fortune 500 hospitality - zero-to-platform in 12 months

Before

The entire data engineering org ran on manual Airflow workflows, no platform standards, no automation, and a legacy orchestrator burning $650K+ annually in licensing.

After

Established platform standards from scratch - built automation and security practices, migrated 3,400+ DAGs off a legacy orchestrator saving $650K+ in licensing, and drove multi-cluster Kubernetes adoption delivering 30% cloud cost reduction with 99.9% uptime SLAs.

30% cloud cost reduction
$650K+ license savings
99.9% uptime SLA
Zero-to-platform in 12 months
KubernetesAirflowTerraformKafkaSnowflakeDynatraceFluxCD

GitHub Enterprise Modernization

SVN/Bitbucket migrations, SBOM compliance, full GitHub stack

Before

Teams were on legacy SCM (SVN, Bitbucket) with no CI/CD standards, no security scanning pipeline, and no path to federal compliance - a blocker for Fortune 500 enterprise contracts.

After

Delivered GitHub Enterprise modernization across multiple Fortune 500 clients - zero-downtime migrations, full-stack adoption of Actions, Copilot, and Codespaces, and US EO-14028 SBOM compliance across all business units affecting 10,000+ engineers.

10,000+ engineers migrated
Zero-downtime migrations
EO-14028 SBOM compliance
Full GitHub stack adoption
GitHub ActionsGitHub CopilotCodespacesAdvanced SecuritySBOMCI/CD