Hi, I'm LiYu Chu
Data Engineer (Fintech) | MLOps Practitioner
Specializing in Zero-Cost, High-Performance MLOps Platforms & Financial Data Systems
M.S. in Computer Science. Experienced in architecting production-ready ML infrastructure and high-concurrency backend systems. I focus on bridging the gap between ML research and stable production environments with extreme cost efficiency ($0/mo).
Professional Focus
I am a Data Engineer with a strong foundation in Fintech and MLOps. Currently pursuing my M.S. in Computer Science, my expertise lies in building resilient, cost-conscious data systems that handle mission-critical workloads. I leverage technologies like Apache Airflow, MLflow, and Kubernetes (k3s) to automate the entire ML lifecycle.
I have a proven track record of reducing infrastructure costs (from $11/mo to $0/mo) while maintaining high performance on ARM64 architectures. My engineering philosophy centers on Financial Precision, Architectural Decoupling, and FinOps Excellence.
Featured Projects
AlphaPulse | Production-Grade MLOps Platform
$0/mo Hosting • Oracle ARM64 • Crypto-Fintech
A high-performance MLOps platform built for quantitative crypto trading. Features include Apache Airflow for chunked ETL (handling 8+ years of data), MLflow for registry, and Terraform for provider-agnostic cloud strategy. Optimized for 24/7 stability on Oracle Cloud's ARM64 free tier with zero compute costs.
Raft-Recovery | Distributed Systems
Distributed job orchestration system with Raft consensus and Write-Ahead Logging (WAL). Ensures 100% crash recovery for critical financial processing tasks, built from scratch in Go.
Chainy | Serverless Inference
Scalable ML inference platform using AWS Lambda and DynamoDB. Managed via Terraform with isolated Dev/Staging/Prod environments and <100ms p95 latency.