AI platform engineer with 7+ years operating production systems on GCP and AWS. I ship LLM infrastructure that an engineering team depends on daily — two Model Context Protocol servers used in production by 10+ engineers, and a 50-user LangGraph assistant hardened with fail-closed data isolation, approval-gated writes, and quota-aware concurrency control. Underneath sits consumer-scale platform work: Kubernetes services sustaining 3,000+ RPS for 50M+ users, and a 35% quarter-over-quarter cut in critical incidents.
Full CV on request
This page is the summary — roles, scope and stack. The full CV adds the detailed project work and outcomes for each role. Tell me who you are and I'll send it over.
MuslimPro — 170M+ downloads, 50M active users · Singapore
Senior Software Engineer ·Sysco Labs
Dec 2020 – Dec 2022
Freight rate management — logistics and supply chain · Sri Lanka
Software Engineer ·DirectFN
May 2019 – Dec 2020
Financial technology — real-time trading · Sri Lanka
Selected work
platform-mcp — Read-only MCP server turning a GCP project into an autonomous SRE surface — 15 observability tools across logs, metrics, errors, cost, recommenders, and inventory, with defence-in-depth read-only enforcement.
Limbiq — Neurotransmitter-inspired adaptive memory layer for LLMs — FAISS vector search, self-attention encoder, and knowledge-graph extraction. Published on PyPI.
marsClaw — Multi-channel LLM chat agent on the Claude Agent SDK and Gemini, with its own MCP server for Gmail, Calendar, and Drive tools, and a hardened security model.
FleetOS — Distributed humanoid-robot fleet platform — 17 Go services over gRPC and Kafka, Temporal workflows, Kubeflow GPU training, and a Spark/ClickHouse analytics path.
Kithly — Group video card product shipped end-to-end — React Native (Expo) app on iOS and Android, Go API, multi-stage FFmpeg pipeline, HLS transcoding, and S3/CloudFront delivery.