Phil Wang
Research Scientist (IGM Reliability) at CPP Real Estate Investments
Knoxville, Tennessee, United States
Summary
👤
Senior🎓
Top SchoolPhil Wang is a Research Scientist with a decade of experience building reliable, large-scale measurement and monitoring systems, currently ensuring the integrity of Instagram's billing and event metrics at Meta. With a PhD in Computer Engineering and a background spanning Reality Labs and network monitoring, he combines deep systems thinking with practical software engineering across Java, C++, Python, Spark, and cloud-scale data stacks. He has a proven track record debugging SEVs that threaten revenue, developing high-throughput streaming adapters and analytics pipelines, and applying deep learning to smart-grid research. Based in Knoxville, he also runs a multifamily real-estate investment firm, demonstrating uncommon fluency in both technical problem-solving and entrepreneurial operations. Colleagues know him as a fast learner and collaborative engineer who prefers elegant, CS-driven solutions to messy engineering problems.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at North China Electric Power UniversityDoctor of Philosophy (PhD) Computer Engineering, Doctor of Philosophy (PhD) Computer Engineering at University of Tennessee, Knoxville
Chinese, English
Github Skills (34)
unet-image-segmentation10
historian9
linear-regression9
backpropagation9
data-storage9
resnet9
forecast8
tensorlayer8
support-vector-machine7
monitoring7
data-stream7
data-mining7
time-series7
reinforcement-learning7
react7
Programming languages (5)
Github contributions (5)
wwang72/IncLearnSVM
Nov 2015 - Oct 2020
Increamental Learning Support Vector Machine for Electrical Load Forecast
Contributions:6 commits, 5 pushes, 1 branch in 4 years 11 months
support-vector-machinemachine-learningelectricalforecastvector
FerriadWang/Incremental-Learning-Frame
Feb 2016 - May 2016
Contributions:8 commits, 7 pushes, 1 branch in 3 months
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