Portfolio —
Kieran Rimmer
Senior backend engineer and solution architect specialising in distributed systems, large-scale query engines, and AI-assisted observability and active monitoring. Available for senior roles and selective consulting engagements. Contact me
stackql + AI — Enterprise Operations Manager (White Paper)
The AI Enterprise Operations Manager extends stackql with an agent-based cognition loop (plan → execute → summarise) for monitoring and operational workflows in cloud-native environments.
The paper outlines system architecture, agent control flow, and integration points for reliability and operational insight.

stackql AI architecture
stackql — Large-scale Query Engine for Cloud & SaaS APIs
stackql is an open-source query engine that treats cloud, SaaS, and other APIs as relational data sources, enabling analytics, automation, and AI-driven monitoring using SQL.
I am a co-founder, CTO, and the leading architect and engineer on the project.
Key technical challenges include heterogeneous schema normalization, query planning and execution over remote APIs, streaming result sets, and robust error semantics at internet scale.
Public Speaking — Google DevFest Kathmandu 2025
I was invited to present at DevFest Kathmandu 2025, where I spoke on stackql fundamentals and AI use cases in the context of Google Cloud Platform.
The talk focused on practical system design, API-driven data access, and operational use cases.

stackql in Kathmandu (courtesy GDG Kathmandu)
How I Help Teams
I help teams design, build, and operate complex backend systems, particularly where correctness, scale, and operational clarity matter.
- Distributed backend and platform systems
- Query engines, data platforms, and API-centric architectures
- Reliability, correctness, and failure semantics
- Prototyping and productionising AI-assisted workflows
What I’m Looking For
Roles
Senior / Staff backend, platform, or infrastructure roles focused on systems-level problem solving and long-term maintainability.
Consulting
Selective short- to medium-term engagements involving distributed systems, data or query platforms, and AI-assisted operational tooling.