Expertise

Depth in the right places.

I focus where backend systems, cloud reliability, and data integrity intersect. Not everything — the right things, done well.

Backend Engineering

Building systems that hold up under real production load.

→ Laravel application architecture: service layers, repositories, domain boundaries
→ API design: RESTful endpoints, rate limiting, versioning, and documentation
→ Background jobs, queues (Horizon, SQS), and event-driven workflows
→ Authentication, authorization, and multi-tenant data isolation
→ Performance profiling, query optimization, and N+1 elimination
→ Reporting pipelines for data-heavy SaaS workflows and field operations
→ PHP best practices: testable, maintainable, and reviewable code

Laravel PHP APIs Queues MySQL PostgreSQL

Infrastructure that is observable, recoverable, and cost-aware.

→ AWS service design: EC2, RDS, Aurora, S3, CloudFront, Route 53, ACM, SQS, Lambda
→ CI/CD pipelines: GitHub Actions, CodeDeploy, automated test gates
→ Zero-downtime deployments, blue/green strategies, and rollback procedures
→ Environment management: staging, production parity, secrets management
→ CloudWatch metrics, alarms, log insights, and operational runbooks
→ Cost optimization: right-sizing, reserved capacity planning, idle resource audits
→ Security fundamentals: IAM least privilege, VPC segmentation, patch management

AWS EC2 RDS S3 CloudFront GitHub Actions Docker

Databases that survive production pressure, schema change, and incidents.

Aurora MySQL PostgreSQL RDS Replication Backups

AI that actually ships into products and makes workflows faster.

→ Extraction and classification pipelines: parsing unstructured content into structured data
→ Summarization for reports, inspections, and customer-facing outputs
→ Internal developer tools: code review aids, documentation drafting, test generation
→ Support workflow automation: triage, routing, draft responses
→ LLM integration patterns: prompt design, context management, fallback handling
→ Evaluation strategies: measuring accuracy and regression in AI outputs
→ Safe automation: human-in-the-loop gates, audit trails, and reversible actions

LLMs OpenAI Automation Pipelines Laravel

Turning ambiguous business requirements into reliable, maintainable systems.

→ Technical scoping: breaking down product requirements into system contracts
→ Data modeling for reporting-heavy and inspection/field operations products
→ Cross-functional collaboration with product managers and non-technical stakeholders
→ Architecture decision records (ADRs) and technical communication
→ Building SiteRevo: product design, architecture choices, tradeoffs, and execution
→ Identifying and de-risking technical debt before it becomes an incident

Product Thinking Architecture SiteRevo Data Modeling

Architecture review, hands-on consulting, or a second opinion on a hard decision.