Jorge Herrera is a software engineer in Palo Alto with 14 years of experience specializing in audio, DSP, and machine learning鈥攃urrently improving core algorithms and tackling data-science problems at Apple while pursuing a PhD in Machine Hearing at Stanford. His career blends applied research and product engineering, from building an early audio similarity search engine that became commercialized at Izotope to DSP and visualization work at Shazam and prototype music apps at Smule. He pairs deep signal-processing expertise with practical systems development, having also led engineering and product efforts as CTO/COO in earlier ventures. Quietly, his background shows a rare combination of formal music-technology scholarship and hands-on commercialization of audio search and mobile music technologies.
14 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering (B.E.), Electrical and Electronics Engineering, Bachelor of Engineering (B.E.), Electrical and Electronics Engineering at Pontificia Universidad Cat贸lica de Chile
MA, Music, Science and Technology, MA, Music, Science and Technology at Stanford University
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Jorge Herrera - Software Engineer at Stanford University