Feng Wang
Machine Learning Engineer at Adobe
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolFeng 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.
11 years of coding experience
14 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at University of San FranciscoMaster of Science (MS) Computer Engineering, Master of Science (MS) Computer Engineering at Tianjin UniversityTianjin Xinhua High School 天津市新华中学
English, Chinese
Github Skills (60)
generative-adversarial-network9
caffe9
computer-graphics9
darknet9
keras9
ncnn9
computer-vision8
vulkan8
simd8
deep-learning8
android8
inference8
mxnet8
onnx8
ios8
Programming languages (5)
Github contributions (5)
nejyeah/DeepPicker-python
Jul 2016 - May 2017
Contributions:13 commits, 49 pushes, 1 branch in 9 months
nejyeah/nejyeah.github.io
Jul 2016 - Feb 2018
Contributions:17 pushes in 1 year 7 months
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