I build agentic solutions, from small companies to enterprises.

Lead AI Platform Engineer working remotely from Indonesia with a Dubai-based team.

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Where I've built

  • Tokopedia
  • Ruangguru
  • Sorabel
  • Evermos
  • ZafarLabs

About

Agentic systems that ship, on cloud and on-prem

I talk to founders and client teams directly, then build the system and explain it back without the jargon.

Read my story
  • More than 10 years in software and platform engineering

  • 3 clouds shipped on, plus on-prem and air-gapped

  • 90 percent less manual reconciliation

  • 70 to 90 percent engineering productivity gain from shared platforms

Work

Six systems, described honestly

The constraint first, then what was built.

  1. Agentic AI for early-stage companies, on cloud and on-prem
    • agents
    • llm
    • cloud
    • on-prem
    • air-gapped

    Small companies got a shopping assistant for their customers, a private document assistant for their staff, and automated back-office routines, without hiring an AI team.

  2. An air-gapped AI security operations platform
    • llm
    • security
    • on-prem
    • air-gapped

    A government security team gets an assistant that reads every alert from every tool and tells them which ones matter, in plain language.

  3. Arabic voice AI with an on-premise TTS pipeline
    • voice
    • mlops
    • on-prem
    • air-gapped

    Customers can phone or speak to a service and get an answer in natural Arabic, without waiting for a human agent.

  4. Seven platforms, one company: the Evermos enablers
    • platform
    • k8s
    • go

    Instead of building features, I built the shared pieces every feature needed, once, properly.

  5. Shipping a chatbot backend at Ruangguru
    • platform
    • chatbot
    • go

    Students got a chatbot that answered their questions during exam season, and it became the channel that brought in the most new students that year.

Experience

Ten years, one rising line

  1. 2026Lead AI Platform Engineer · ZafarLabs2026–now · Dubai-based team, delivered remotely
  2. 2024AI Architect & Technical Lead · Independent (part-time)2024–now
  3. 2021Lead Platform Engineer · Evermos2021–2026
  4. 2020Senior Software Engineer · Ruangguru2020–2021
  5. 2019Senior Software Engineer · Sorabel2019–2020
  6. 2017Software Engineer · Tokopedia2017–2019
  7. 2012BASc Computer Engineering · PENS2012–2016

Capabilities

The harness, the platform and everything under it

  • Agentic AI

    MCP tool callingA2A agent-to-agent protocolagent registry and intent routingRAG (Qdrant, pgvector, Bedrock Knowledge Bases)guardrails and confirmation gatesevaluation and tracing (Langfuse, Arize Phoenix)LangChaincontext engineering

  • Cloud AI platforms

    Google Vertex AI (Gemini, tool calling)Amazon Bedrock (Knowledge Bases)Azure OpenAI / AI FoundryvLLMOllamaTGIKubeflowKServeMLflow

  • Deployment models

    Google CloudAWSAzureon-premiseshybrid and air-gapped deploymentsmulti-environment rollouts with Helm and Kustomize

  • Platform & infrastructure

    Kubernetes (Helm, Kustomize, bare-metal and on-prem clusters)Terraform (modular, multi-environment)DockerCI/CD pipelinesobservability and drift / latency dashboards

  • Data, messaging & ERP

    PostgreSQL (pgvector)MySQLBigQueryRedisElasticsearchKafkaGoogle Pub/SubChange Data CaptureOracle NetSuite (SuiteTalk REST, token-based auth)HubSpotWhatsApp Business API

  • Languages & APIs

    Python (FastAPI, Flask)GoJavaJavaScript / ReactPHPCRESTgRPCOpenAPIWebSocket / WebRTC (LiveKit)Clean ArchitectureDDD

Ask my AI

Ask about any of this, and see what it costs

Every answer shows its model, tokens, cache and cost.

Example harness readout for one answer: model, router, tokens, cache hit rate, cost and latency.

Writing

Notes from the harness

Latest thought

Software Architecture vs AI Agent Architecture: The Same Patterns with Different Actors

Software engineers often look at AI and assume their experience is about to be replaced. It is not. Microservices and AI agent systems use the same two architecture patterns, orchestration and choreography. What changed is the actor: a service is deterministic, an agent is probabilistic, and every difference between the two worlds comes from that.

September 2026 · 6 min read

Talks

On agentic harness design

Publication

Kinematic Analysis of 7 DoF Head Humanoid FLoW: V-REP Simulation

International Electronics Symposium (IES), IEEE · 2016

Let's build your agentic system.

If you are a founder with an AI idea and no engineer in the room yet, write to me. I will answer in plain words.

WIB (UTC+7) · working with a team in Dubai