Darren Wang is an AI research engineer with a decade of experience designing and productionizing ML systems, currently a Research Engineer II at Amazon in Milpitas. He has led end-to-end efforts from experiment to deployment—most recently driving Bedrock prompt optimization and building large-scale data pipelines that delivered trillions of tokens for LLM training. His background spans applied research in acoustic and speech models to pragmatic spam and fraud detection at Yahoo and Abnormal Security, showing a rare blend of signal-level modeling and production engineering. Darren combines PhD-level rigor from National Taiwan University with hands-on skills in Python, Spark, and Airflow to move prototypes into resilient, monitored services. Colleagues know him for improving recall and accuracy in high-impact models while also owning automation, cost/latency tradeoffs, and cross-team delivery.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical Engineering Computer Science, Doctor of Philosophy (Ph.D.) Electrical Engineering Computer Science at National Taiwan University
Contributions:53 commits, 26 pushes, 1 branch in 1 year 6 months
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