Phil Vallance
Machine Learning Researcher at United States Department of Defense
Washington DC-Baltimore Area United States
Summary
👤
Senior🎓
Top SchoolPhil Vallance is a machine learning researcher with a decade of experience shaping signal-processing systems from concept to hardware. He excels at leading cross-disciplinary teams, turning complex system requirements into Python fixed-point simulations and RTL implementations for FPGAs. His background spans DSP algorithm development, high-speed FPGA design, and RF front-end integration, with notable work in channelizers, decoders, and PHY layers for CDMA2000 and GSM. Currently applying modern ML techniques to signal-processing challenges at the U.S. Department of Defense, he also brings business development and customer-facing leadership to technical programs. An educator at heart, he mentors engineers and translates intricate technical details into clear project deliverables. Based in the Washington DC area, Phil combines deep academic training (MSCS in Computational Perception & Robotics, MSEE) with hands-on engineering across DoD, national labs, and industry.
11 years of coding experience
20 years of employment as a software developer
MSCS, Computational Perception & Robotics, MSCS, Computational Perception & Robotics at Georgia Institute of TechnologyMSEE, Electrical Engineer, MSEE, Electrical Engineer at Virginia TechHigh School Diploma, High School Diploma at Belton High School
Stackoverflow
43reputation
6kreached
0answers
1question
Github Skills (105)
point-clouds10
annotations10
standardized10
datasets10
label-studio10
labeling10
plots10
computer-vision10
data-labeling10
semantic-segmentation10
annotation10
label10
text-annotation10
annotator10
bounding-box9
Programming languages (8)
Github contributions (5)
pjvalla/pfb_channelizer_gen
Jan 2021 - Oct 2022
Contributions:62 commits, 59 pushes, 1 branch in 1 year 9 months
EttusResearch/rfnoc-pfb-channelizer
Sep 2017 - Mar 2018
Contributions:3 commits in 5 months
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