Philip Pincencia
R&D Engineer Intern at Ansys
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolPhilip Pincencia is a computer engineering student at UC San Diego with a strong academic record (3.83 GPA) and a practical focus on signal processing, audio algorithms, and probabilistic machine learning. He has interned across industry and research settings—most recently on the Features team at Ansys Discovery and earlier on DSP and audio processing roles—bringing hands-on experience in prediction algorithms, temporal dynamics of music, and front-end audio systems. Philip has blended classroom instruction and mentorship as an ECE tutor and SI leader, and led a DeepFake detection effort as IEEE Signal Processing Chair, signaling both technical depth and a commitment to ethical applications. Notably, his research on symbolic music generation and jazz improvisation applies probabilistic methods to creative domains, revealing an affinity for interdisciplinary problems that combine math, signal processing, and ML.
18 years of coding experience
1 year of employment as a software developer
University of California, San Diego
Github Skills (68)
rocks10
ftp9
linux-kernel9
btrfs9
zfs9
encryption9
initramfs9
azure-blob-storage9
kernel9
methodology8
linux8
flysystem8
golang8
sftp8
rsync8
Programming languages (7)
Github contributions (5)
rocksclusters/base
May 2008 - Jun 2018
Base roll for Rocks Clusters
Contributions:557 commits, 10 PRs, 133 pushes in 10 years 2 months
clustersrocks
rocksclusters/core
May 2016 - Oct 2022
This is a core roll for Rocks
Contributions:206 commits, 5 PRs, 156 pushes in 6 years 6 months
rocks
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