Nevo Segal
Staff Software Engineer at Unity
Tel-Aviv, Tel-Aviv District, Israel
Summary
🤩
Rockstar🎓
Top SchoolNevo Segal is a Staff Software Engineer in Tel-Aviv with 11 years of experience specializing in real-time audio, DSP and iOS audio applications, currently driving real-time audio work at Unity. He holds an MSc in Digital Signal Processing and a BSc in Music Computing, blending rigorous academic DSP expertise with hands-on product delivery from startups to large platforms. Nevo has built real-time voice activity detectors, deployed neural nets for speaker authentication, and contributed to the popular JavaScript audio feature-extraction project Meyda, demonstrating fluency across C++, WebAudio, TensorFlow and full-stack web tech. Known for turning research prototypes into production-ready systems, he pairs low-latency signal processing skill with practical engineering—supervising teams and interns while shipping cross-platform audio features.
12 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BSc), Music Computing, Distinction, Bachelor of Science (BSc), Music Computing, Distinction at Goldsmiths College, U. of LondonMaster of Science (MSc), Digital Signal Processing, Distinction, Master of Science (MSc), Digital Signal Processing, Distinction at Queen Mary University of LondonBagrut, Multi/Interdisciplinary Studies, Bagrut, Multi/Interdisciplinary Studies at Igal Alon High School, Israel
Hebrew, English, French
Github Skills (6)
fourier-transform10
fft10
web-audio-api10
javascript10
front-end-development9
html8
Programming languages (10)
Github contributions (5)
meyda/meyda
Sep 2014 - May 2021
Audio feature extraction for JavaScript.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:10 releases, 4 reviews, 93 commits in 6 years 8 months
Contributions summary:Nevo primarily contributed to the implementation and refinement of audio feature extraction functionalities. Their work involved modifying existing JavaScript code within the `main.js` file, adding logging, and correcting minor errors. Further contributions included modifications to the `index.html` file, which likely involved updates to the user interface to display extracted audio features, and integrating the Meyda library. The user also focused on adding new features and refactoring existing ones.
audiofeature-extractionjavascriptaudio-featuresspectral-centroid
nevosegal/fftjs
May 2016 - Apr 2017
A compact Fast Fourier Transform (FFT) and Inverse Fast Fourier Transform (IFFT) library for JavaScript.
Contributions:23 commits, 20 pushes, 1 branch in 11 months
fftfourier-transformifftjavascript
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