Cost-Aware, Scale-to-Zero AI Platform on Kubernetes
A multi-tenant AI platform using KEDA, shared LLM gateways, and per-service autoscaling to minimize idle infrastructure cost.
I design production AI systems that scale when needed—and cost nothing when they don't.
Built enterprise AI platforms with Microsoft Entra integration, serving 100+ weekly userswith strict security and compliance.
10+
Years Experience
Indonesia
Location
3+
Cloud Platforms
Trusted with cost, reliability, and failure domains. Platforms—not just features.
10+
Years
E2E
Ownership
About
Senior Backend Engineer and AI Platform Architect with 10+ years of experience designing cost-aware, production-grade AI systems. Specialized in building multi-tenant platforms that scale to zero when idle—minimizing infrastructure costs while maintaining enterprise-grade reliability. Led architecture and implementation of AI platforms serving enterprise clients with strict security and compliance requirements. Strong focus on Kubernetes-native architectures, event-driven systems, and observability-driven operations.

Senior Backend Engineer | AI Platform Architect
Languages
Interests
Designed scale-to-zero AI platforms that eliminate idle compute costs.
Built multi-tenant systems with per-service cost attribution and shared LLM gateways.
Operated systems under real constraints: unpredictable traffic, strict auth, budget limits.
From design reviews and tradeoff decisions to production incidents and evolution.
My Approach
My approach is opinionated but pragmatic: favor simple scaling models over clever ones, isolate failure domains early, and treat cost as a first-class architectural constraint—not a finance problem discovered later. I'm most effective when owning systems end-to-end: from architecture design and technology decisions to production incidents and long-term evolution.
I've led the design of cost-aware AI platforms that scale individual services to zero when idle, route traffic through shared LLM gateways for usage control, and enforce authorization across shared data sources using SSO and IAM.
Skills
A cross-functional toolset spanning backend systems, DevOps, AI/ML, and modern web development.
Experience
A decade of building scalable systems, microservices, and production AI/ML workloads.
PT Berlian Sistem Informasi
Lead Architect & Senior Software Engineer
May 2024 – Present
SCCIC ITB
Software Engineer
Sep 2023 – Apr 2024
PT Neuronworks Indonesia
DevOps Engineer
Jan 2023 – Sep 2023
PT Neuronworks Indonesia
Junior System Analyst
Jan 2020 – Jan 2023
PT Neuronworks Indonesia
Software Developer
Mar 2013 – Dec 2019
Projects
Production platforms with real constraints, tradeoffs, and outcomes.
Companies need AI assistance for daily operations but face challenges with data privacy, compliance, managing access across departments, and providing consistent AI capabilities while maintaining strict security boundaries.
Single identity provider serving multiple business units with isolated data access and per-service per-user authorization.
Each AI feature deployed independently on AKS with independent scaling, reducing blast radius and enabling granular access control.
Centralized LLM access with rate limiting and per-tenant cost tracking, preventing usage sprawl while optimizing resource utilization.
A multi-tenant AI platform using KEDA, shared LLM gateways, and per-service autoscaling to minimize idle infrastructure cost.
End-to-end platform for bulk document ingestion, extraction, and semantic search. Reduced processing time from ~2-3 minutes to 10-30 seconds (~85% improvement).
WebSocket-based real-time monitoring stack for image-processing workloads, integrated with Flutter clients and observability tooling.
Migrated monolithic PHP applications to containerized microservices with Kubernetes and MinIO-backed storage.
Integrated YOLO-based video analytics for face and object detection, deployed across cloud and private infrastructure.
Production-ready OpenTelemetry demo with Go service, OTel Collector, Grafana dashboards, Tempo distributed tracing, and Prometheus metrics. Full observability pipeline from instrumentation to visualization.
Education
Formal education that built strong foundations in information systems and software engineering.
ST INTEN
Bachelor Degree, Information Systems
2011 – 2015
Contact
Interested in backend, DevOps, or AI/ML projects? Reach out and let's explore how we can work together.