Technical Architecture Advisory
Good architecture decisions early save months of refactoring later. I provide the seasoned perspective that comes from years of building and scaling production systems, helping your team make the right technical choices at the right time.
What I Provide
System Architecture Design
High-level system design for scalable applications
Microservices vs. monolith decision guidance
Database architecture and data modeling
API design (REST, GraphQL, gRPC) and integration patterns
Real-time features architecture (WebSockets, Server-Sent Events)
Event-driven architecture and message queues
Scalability Planning
Bottleneck identification and performance optimization strategies
Caching strategies (Redis, CDN, edge caching)
Database scaling (read replicas, sharding, connection pooling)
Horizontal scaling patterns and load balancing
Cost optimization while maintaining performance
Technology Stack Selection
Choosing the right tools for your specific needs (not just what's trendy)
Evaluating build vs. buy decisions
Vendor selection for cloud providers, databases, and third-party services
Migration planning (moving from legacy to modern stack)
Technical Debt Management
Assessing existing codebases for technical debt
Prioritizing refactoring efforts with business impact analysis
Incremental modernization strategies that don't halt feature development
Establishing engineering best practices to prevent future debt
Code Architecture & Quality
Code review and architectural feedback
Establishing coding standards and patterns
Design patterns and when to apply them
Testing strategies (unit, integration, e2e) and test architecture
Documentation standards and practices
My Approach
I position myself as a collaborative resource for your existing technical leadership—not a replacement. I work with your CTO, tech leads, and senior engineers to provide an outside perspective on complex architectural decisions.
Having built Bondlayer for 10 years, I've seen what works at scale and what doesn't. I've made the mistakes so you don't have to. I bring pattern recognition that only comes from years of production experience.
Ideal For
CTOs navigating complex architectural decisions or scaling challenges
Engineering teams facing technical pivots or major refactoring decisions
Startups designing their initial architecture and wanting to avoid common pitfalls
Companies evaluating technology choices for new initiatives
Organizations dealing with performance or scalability issues requiring expert analysis
Engagement Models
One-time architectural audit (1-2 weeks, detailed report with recommendations)
Monthly advisory retainer (4-8 hours/month for ongoing guidance)
Project-based consulting (hands-on for specific architectural initiatives)
Workshop facilitation (architecture design sessions with your team)
Deliverables
Architecture diagrams and documentation
Technology evaluation reports with recommendations
Refactoring roadmaps with prioritization
Code review feedback with actionable improvements
Best practices documentation for your team
Technical decision records (ADRs) for major architectural choices
What Makes This Valuable
Unlike pure consultants who specialize in advice, I'm a hands-on engineer who can also implement. I don't just tell you what to do—I can show you, build prototypes, or pair program with your team to transfer knowledge effectively.
Technologies & Patterns
Architecture: Microservices, serverless, event-driven, monorepo
Patterns: SOLID, DDD, CQRS, repository pattern, factory pattern
Infrastructure: AWS, GCP, Kubernetes, Docker, serverless
Databases: PostgreSQL, MongoDB, Redis, ElasticSearch
APIs: REST, GraphQL, gRPC, WebSockets
Velocity Paradigm
Traditional engineering methods usually take several weeks or even months to reach MVP. Through my AI-augmented workflows and 15+ years of experience with high-end no-code building tools, I leverage acceleration methods that condense these usual timelines significantly without sacrificing architectural integrity or security.