Available for new challenges · 2026

AI Engineer
& Architect.

_

~/profile/yen-nan-liu.json
identity
roleAI / Platform Engineer
levelSenior
locationRemote · Global
statusAvailable 2026
skill_confidence
LLM / AI Engineering95%
Backend Systems92%
Cloud Infrastructure90%
Data Engineering88%
Platform Engineering85%
0+
Years of Experience
0+
Open Source Projects
0+
GitHub Stars
0+
Cloud Certifications
Expertise

Built for the frontier.

End-to-end engineering from AI model integration to production-scale distributed systems.

AI / ML Engineering

LLM integration, RAG pipelines, model fine-tuning, and end-to-end MLOps at production scale.

LLMsRAGPyTorchMLOps
Backend Systems

High-throughput distributed services handling millions of requests with sub-millisecond latency.

GoJavagRPCKafka
Cloud Infrastructure

Cloud-native engineering on AWS/GCP — Kubernetes, Terraform IaC, CI/CD, and full observability.

AWSK8sTerraformArgoCD
Full Stack Development

End-to-end product ownership — React frontends to Python/Go backends, shipping fast without compromise.

ReactTypeScriptFastAPI
Platform Engineering

Internal developer platforms with golden paths and self-service infra — deploy time from days to minutes.

IDPArgoCDBackstage
Data Engineering

Real-time data pipelines on Kafka, Spark, dbt, and Airflow — the backbone powering AI at scale.

KafkaSparkFlinkdbt
Data Engineering

Real-time data pipelines on Kafka, Spark, dbt, and Airflow — the backbone powering AI at scale.

KafkaSparkFlinkdbt
Platform Engineering

Internal developer platforms with golden paths and self-service infra — deploy time from days to minutes.

IDPArgoCDBackstage
Full Stack Development

End-to-end product ownership — React frontends to Python/Go backends, shipping fast without compromise.

ReactTypeScriptFastAPI
Cloud Infrastructure

Cloud-native engineering on AWS/GCP — Kubernetes, Terraform IaC, CI/CD, and full observability.

AWSK8sTerraformArgoCD
Backend Systems

High-throughput distributed services handling millions of requests with sub-millisecond latency.

GoJavagRPCKafka
AI / ML Engineering

LLM integration, RAG pipelines, model fine-tuning, and end-to-end MLOps at production scale.

LLMsRAGPyTorchMLOps
Selected Work

Open Source Projects

Production-grade work spanning AI, backend systems, and data engineering.

Repository Description Language Stars
cdk-playground AWS CDK infrastructure patterns — reusable constructs, multi-stack deployments, and IaC best practices TypeScript  ★
agent_ticket_system AI-powered ticket management system with multi-agent orchestration and LLM-driven triage Python  ★
SpringPlayground Spring Boot microservices with REST, Kafka integration, and cloud-native patterns Java  ★
InvestSkill Stock market analysis and investment strategy tools with data-driven backtesting and signals Python  ★
Connect

Let's build something
extraordinary.

Open to senior engineering roles, AI platform work, and high-impact consulting.