Services
I provide consulting and advisory services for organizations navigating complex infrastructure challenges, M&A technical transitions, and AI/ML platform development.
Platform Architecture & Design
Design and implementation of scalable, resilient infrastructure that grows with your business.
Deliverables:
- Cloud architecture design (AWS, GCP, Azure)
- Kubernetes platform implementation and optimization
- Microservices architecture and migration strategies
- Infrastructure as Code (Terraform, Pulumi, CloudFormation)
- CI/CD pipeline design and implementation
Example: Designed container-based cloud infrastructure supporting AI/ML models, reducing defect-related time by 2,500+ hours annually while exceeding 99.99% reliability.
Cloud Migration & Transformation
End-to-end migration planning and execution for organizations moving to cloud or between cloud providers.
Deliverables:
- Migration strategy and roadmap development
- Zero-downtime migration execution
- Legacy system modernization
- Multi-cloud and hybrid cloud architectures
- Cost optimization and FinOps implementation
Example: Led migration of 200+ services across 6 cloud environments in 4 months with zero downtime during RBC's acquisition of OJO Labs.
M&A Technical Due Diligence
Technical assessment and integration planning for acquisitions, mergers, and divestitures.
Deliverables:
- Technical due diligence and risk assessment
- Platform documentation review
- Information security and compliance evaluation
- Integration roadmap development
- Team assessment and retention planning
Example: Contributed to RBC's acquisition of OJO Labs, participating in due diligence, platform review, security assessment, and founding team composition for post-acquisition success.
Engineering Team Building
Building and scaling high-performing infrastructure and platform engineering teams.
Deliverables:
- Organizational design for platform teams
- Hiring strategy and interview process development
- Team integration during acquisitions
- Engineering culture and operational excellence
- Mentorship and career development programs
Example: Integrated engineering teams from three acquisitions into one unified team while maintaining zero regrettable attrition and 10/10 manager satisfaction ratings.
AI/ML Infrastructure
Infrastructure and platform support for machine learning workloads and AI applications.
Deliverables:
- ML platform architecture and design
- Model serving infrastructure
- GPU/compute resource optimization
- MLOps and model lifecycle management
- Integration of AI capabilities into existing systems
Example: Currently building AI applications with TensorFlow, PyTorch, and LangChain while completing DeepLearning.AI's Deep Learning Specialization.
Engagement Models
Advisory: Ongoing strategic guidance on platform decisions and architecture direction.
Project-Based: Defined scope engagements for migrations, assessments, or implementations.
Interim Leadership: Temporary engineering leadership during transitions or growth phases.