System philosophy
Engineered for
Performance.
I default to backend-first thinking: data shape, service boundaries, and delivery reliability come before presentation details, even when I am building the full product surface.
Optimization case
Improved SQL-heavy workflows by reducing unnecessary joins, tightening query shape, and trimming payloads moved through the application layer.
Backend core
Databases
PostgreSQL and MSSQL
Query tuning, schema work, service-side data modeling
MongoDB and Redis
Caching, session data, lightweight document use cases
Comfortable with pragmatic performance work, not just ORM defaults.
Cloud and DevOps
- check_circle AWS: EC2, S3, Lambda, RDS
- check_circle Docker-based deployment flows
- check_circle Linux server work and rollout support
- check_circle GitHub Actions and CI/CD habits
Frontend architecture
Enough frontend range to design, build, and refine usable interfaces while keeping the system model coherent.
90+
Lighthouse score target
60fps
Preferred interaction floor
Mobile and hybrid
Cross-platform feature delivery with shared backend thinking.