Summary
Hsieh-che Tsai is a seasoned software and data engineering leader with a decade of experience building large-scale distributed systems and eight years driving data-centric products. He has led R&D and engineering teams from senior engineer to VP and now Senior Director, growing teams by 60% and institutionalizing practices like job ladders, CI/CD, and ISO27001-grade processes. Technically fluent across Python, Go, Node.js, big data platforms (Kafka, Spark, Hadoop), databases (Elasticsearch, MySQL, HBase, Cassandra) and ML stacks (TensorFlow, PyTorch), he specializes in PB-scale, real-time public-opinion and Chinese text-mining systems. At a Big Data startup he translated market insight into product — launching KEYPO, a GPT-powered reporting product and a Copilot to production — blending engineering rigor with commercial strategy. He is comfortable across cloud environments (AWS, GCP), container orchestration (Kubernetes, Docker Swarm) and driving ML models from POC to production. Based in New Taipei, he combines an engineer’s depth with entrepreneurial instincts and a proven track record of shipping impactful data products.
8 years of coding experience
14 years of employment as a software developer
Master's degree Management Information Systems General, Master's degree Management Information Systems General at Soochow University
Chinese, English