Summary
Feng Wang is a machine learning engineer with 11 years of experience building large-scale data and ML infrastructure across top-tier companies including Adobe, Google, Meta, Microsoft, and IBM. He combines deep systems expertise—performance profiling for TPUs/GPUs, Spark-based text mining, and high-throughput streaming pipelines—with hands-on model and GenAI product work (Firefly/GenAI at Adobe). Fluent in Java, Scala, Python and Node.js, he has repeatedly optimized query and pipeline performance at scale (10x improvements and column-store tuning) and built production services for NER, analytics, and audience estimation. Based in San Francisco, he blends cloud, distributed systems and IoT interests—he tinkers with Raspberry Pi and Node-RED—bringing both research-grade profiling skills and pragmatic service engineering to ML products.
12 years of coding experience