Backend Tech Lead · AI Researcher
I lead backend engineering from system design to production delivery. My work sits at the intersection of distributed backend systems, engineering leadership, and applied AI.
type Profile struct {
Roles, Core, Research []string
}
var rizky = Profile{
Roles: []string{"Backend Tech Lead", "AI Researcher"},
Core: []string{"Backend architecture", "Distributed systems", "Engineering leadership"},
Research: []string{"AI agents", "LLM tool use", "Model Context Protocol"},
}| Area | Skills |
|---|---|
| Architecture & scale | Scalability, Microservices Architecture, API Design, System Design |
| Technical leadership | Technical direction, architecture reviews, mentoring, code reviews, delivery planning |
| Orchestration | Kubernetes, Nomad |
| CI/CD | Jenkins, GitHub Actions |
| Databases | PostgreSQL, MySQL, MongoDB, Redis |
| Messaging & workflows | RabbitMQ, Kafka, VerneMQ, BullMQ, Temporal |
| Service mesh | Consul, Envoy |
| Secret management | Kubernetes Secrets, Vault, Google Secret Manager |
| Containers | Docker, Podman |
| AI research | Agentic systems, LLM tool use, MCP integrations, applied AI workflows, research prototyping |
Languages
Platform & delivery
Data & messaging
Infrastructure & secrets
Production-minded Go architecture organized around domain-driven vertical slices, with REST and gRPC services, background workers, migrations, tests, and operational tooling.
Python MCP server that exposes financial market data as focused tools for AI agents and MCP-compatible clients.
- Leading backend architecture and engineering delivery.
- Researching agentic systems, tool use, and applied LLM infrastructure.
- Building reusable foundations for backend and AI-powered products.
Open to Backend Tech Lead, Platform Engineering, and applied AI research opportunities.