Toan Quach is a software engineer with four years of experience building production data pipelines and deploying machine learning systems, currently based in Ho Chi Minh City. He has driven end-to-end projects—from parsing bank statements and credit reports to building decision engines and automated Airflow/Lambda pipelines—delivering measurable accuracy and automation gains. At Taipy he helped design core orchestration, persistence, and performance-benchmarking features for a production-grade Python data-app framework, and has migrated legacy APIs to Go for improved scalability. His background spans ML research and applied engineering (face recognition, Siamese and GAT models) and he brings a practical focus on observability, quality (SonarQube/OpenTelemetry), and real-time monitoring. Fast to learn and self-directed, he combines research curiosity with a track record of reducing manual work and improving system performance across distributed, cloud-native environments.
4 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Information Technology, 3.5, Bachelor's degree, Information Technology, 3.5 at RMIT University Vietnam
A Python library to build powerful and customized data-driven back-end applications.
Contributions:452 reviews, 110 commits, 192 PRs in 10 months
scenario-analysis
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