Phil Vallance
Machine Learning Researcher at United States Department of Defense
Washington DC-Baltimore Area United States
Summary
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Senior🎓
Top SchoolPhil Vallance is a Machine Learning Researcher with 11 years of signal processing and FPGA-focused engineering experience, currently applying modern ML techniques to challenging DoD signal problems in the Washington DC–Baltimore area. He brings deep expertise in DSP, wireless PHY implementations, and high-speed FPGA channelizers developed across roles from Oak Ridge National Lab to industry, including hands-on development of Viterbi/Turbo decoders and spread-spectrum demodulators. Phil has a track record of translating Matlab prototypes into production FPGA designs and toolchains that automate VHDL generation for complex multirate and channelization systems. He blends research rigor (MSCS in Computational Perception & Robotics from Georgia Tech) with practical embedded systems leadership, having led integration teams and mentored engineers on algorithm-to-hardware delivery. An often-overlooked strength is his ability to optimize designs for resource-constrained FPGAs (e.g., Spartan-6), squeezing high throughput from cost-sensitive hardware.
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 (95)
annotations10
standardized10
datasets10
label-studio10
labeling10
computer-vision10
data-labeling10
semantic-segmentation10
label10
text-annotation10
annotator10
bounding-box9
training-data9
python9
deep-learning9
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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