Backend Engineer · Cloud-Native Systems · AI + Agentic Coding
I build robust backend platforms and products with a strong focus on reliability, scalability and clean architecture. Currently centered on Go-based backend systems, distributed architectures and AI-assisted engineering workflows.
I use AI to accelerate delivery without compromising engineering quality.
- Plan first: define scope, constraints and acceptance criteria before coding
- Agentic loops: design → implement → test → self-review → refine
- Human-in-the-loop decisions: architecture, trade-offs and risk stay explicit
- Quality outcomes: faster delivery, safer refactors and clearer technical documentation
- Backend Engineering: APIs, microservices, event-driven systems and data-intensive workflows
- Architecture: DDD, clean boundaries and pragmatic observability
- Execution: fast iteration loops with quality gates and measurable outcomes
- AI-native Delivery: practical agentic workflows that improve speed and reliability
- Build systems that are easy to reason about under pressure
- Prefer clear contracts over hidden coupling
- Measure impact, don’t guess
- Keep it simple, but not simplistic
"Truth can only be found in one place: the code." — Robert C. Martin
🚀 Always shipping, always learning.
If you're building serious backend products, let’s connect.