Michael Cheung
I'm a seasoned software engineer with 10+ years of experience building scalable backend systems, AI/ML solutions, and cloud-based platforms.
About
I’m a seasoned software engineer with 10+ years of experience building scalable backend systems, AI/ML solutions, and cloud-based platforms. I specialize in Python, Go, C#, Java, and Node.js (TypeScript), and have extensive hands-on work with AWS, GCP, Kubernetes, Docker, and data platforms. I thrive in roles that blend data engineering, software architecture, and cross-functional collaboration to deliver robust, secure, and measurable outcomes.
Over the years I’ve delivered end-to-end ETL pipelines, ML-enabled analytics, and real-time dashboards for sophisticated financial, data, and payment platforms. I’ve led multi-region, serverless, and microservices initiatives, mentored junior engineers, and established best practices for API design, security, and compliance. I enjoy turning complex requirements into scalable solutions and aligning engineering work with business goals.
- 8 years' experience
- Joined October 2025
Industry experience
- Software & Internet
- Financial Services
- Professional Services
- Education
- Retail
- Media & Entertainment
Work experience· 9 roles
Led the integration of Meta's Partner Data Pipelines and Payment Platform with Salesforce Service Cloud and Data Cloud. Architected and delivered Kubernetes-based microservices in Go, C#, and Node.js to expose global payment APIs with millisecond latency and strong security/compliance. Built ML-assisted fraud detection and predictive analytics pipelines, embedding Salesforce CRM insights into partner dashboards with React, Apollo GraphQL, and Redux Toolkit. Implemented end-to-end data reconciliation and monitoring using Prometheus, Grafana, CloudWatch, and OpenTelemetry; improved data accuracy and time-to-resolution. Mentored junior engineers and established best practices in API design, microservice architecture, and secure data exchange. Deployed in AWS/GCP with Terraform, Docker, and Kubernetes, leveraging CI/CD with GitHub Actions and Kubernetes rollouts.
Architected and built a real-time fraud scoring engine in Go and C++, processing millions of payment events daily with latency under 5 ms and 99.82% availability; led real-time partner data integration and dashboarding; implemented ML anomaly detection and secure data pipelines across Meta and Salesforce ecosystems.
Led the integration of Meta’s Partner Data Pipelines and Payment Platform with Salesforce Service Cloud and Data Cloud; designed Kubernetes microservices (AWS EKS, GCP GKE) in Go, C++, and Node.js to deliver global payment APIs with millisecond cadence and safeguards.
Education
Hire Michael Cheung today
Post a job and invite Michael, or contact them directly. No hidden commission.