Alejandro Koretzky

I am a builder and problem solver at heart, with an inquisitive nature to uncover and exploit patterns in data, and a special love for Sound. With a 20-year career spanning across Applied Research, Engineering, Product and venture building, I thrive on leading innovation through AI technologies and products that inspire and elevate human creativity.

As Head of AI at Splice, I lead the company's AI strategy and R&D division, developing proprietary Machine Learning & Audio technologies, co-driving product vision and ideation for creation tools, while managing a high-performing team of researchers and ML engineers that I built from the ground up.
I spearheaded the vision for transformative products and features like Create (formerly CoSo), Similar Sounds, Search with Sound, Recommended For You, while co-inventing the underlying technology and securing multiple patents.
I am currently leading major investments in Generative AI to unlock new modalities in audio editing for the future of music creation. As a trusted advisor to the CEO and Board members, I have played a pivotal role in shaping the company's direction since its relatively early days.

My work has been featured in leading outlets such as Forbes, Yahoo, TechCrunch and Bloomberg, with extensive recognition in the music and music-tech scenes, including RollingStone, Billboard, DJ Magazine, Music Radar, Music Business Worldwide, Attack Magazine, edm.com, and more. I have been an invited speaker at top institutions, such as Harvard Business School, Stanford University, Berklee College of Music, as well as organizations like AES, SXSW, NAMM and ISMIR.

I was a Fulbright scholar at USC Viterbi and a green card holder under the EB1 category for extraordinary abilities in applied sciences and business.

More

Before Splice, I was the founder of tuneSplit, a USC Viterbi spinoff startup that developed pioneering real-time, deep learning based audio source separation technology (acquired in 2016), followed by building one of the most sophisticated music visualization engines for VR, introduced at Oculus Connect '16. Back in Argentina, I worked as a C/C++ Software Engineer at Motorola, led voice traffic prediction modeling for the largest credit card company and co-founded tuquejasuma.com (StartupChile '13), today the leading complaint-resolution platform in the country.

My technical expertise encompasses machine learning, audio signal processing & acoustics, image processing, data science and software architecture, paired with a strong intuition for Product and interaction design. As a leader, I believe my force-multiplier quality lies in effectively orchestrating business goals, product vision & strategy, and hands-on technical leadership in AI to create both defensible and sustainable value for businesses and their customers, while fostering a culture of innovation and risk-taking.

Academic background

I moved to the U.S. as a Fulbright Presidential Fellow from Argentina, with a Dean's Masters Fellowship offer from USC Viterbi, where I earned my M.Sc. in Electrical Engineering, specializing in Multimedia Signal Processing & Machine Learning. I worked with the Digital Signal Processing Lab, Immersive Audio Lab and Media Communications Lab, with advising professors -C Jay Kuo and Chris Kyriakakis. As part of my research work —which later became the foundation for tuneSplit—, I built some of the early machine learning models for real time audio deconstruction, receiving incubation by the USC Office of Technology Innovation and Entrepreneurship and selected for an NSF grant.

In Argentina, I earned my Engineer's Degree (5.5 year program) in Electrical & Telecommunications Engineering, with invited seminars at Technion and Vrije University for my thesis work on traffic prediction modeling and queueing systems. In my fourth year, I received a full scholarship to study Computer Science at the University of Richmond, where I focused on data structures, algorithms and network protocols.

If I ever return to school, I would explore Bioinformatics, Materials Science, or perhaps my first love, Architecture.

Advisory & consulting work

I believe in giving and helping others pursue bold ideas. I've been an active mentor and advisor to several companies and organizations on technology, product strategy, data, and hiring. I’ve worked with Techstars (Roux Institute ’22, Tel Aviv ’24), StartupWeekend, the USC Startup Garage. I have advised Cornell Tech programs and consulted for YC-backed startups. I occasionally help VCs and small funds with due diligence efforts. One of my most memorable projects was consulting for SpaceIL as part of the Google Lunar X Prize competition, contributing to their inspiring mission to land the first Israeli spacecraft on the moon.

Back in Argentina, I'm involved in a few Government-led initiatives to help develop the tech and startups ecosystem. I'm also an advisor at Anyone AI..

Music

I have a deep connection to music and music culture. I truly believe that music is the universal language and the social glue that keeps us in relative harmony with each other.

While pursuing my engineering degree at USC, I also attended the Thornton School of Music, studying songwriting under Andrea Stolpe and performing & recording with the Thornton Apollo Men's Chorus. In Argentina, I was the producer and lead singer of Ximetria, a rock band I founded in 2006 with two studio album releases, -embarrasing- music videos on MTV and VH1 Latin America, and a few memorable performances, including Hard Rock Rising Buenos Aires 2012 and the Youbloom Music Awards, London 2012.

I am currently working on my next production project, 'Stolen Signals'. Expect some releases in 2025!

Some media coverage

A few pieces covering my work and profile. For a full list, click here

Selected talks, presentations & panels

  • Sparking Creativity: AI and the Future of Sound (2025) | SXSW '25
  • A Holistic Approach to AI for Music Creation – Why We Can’t Innovate in a Vacuum (2025) | NAMM '25
  • AI @ Splice: from Discovery to Creation (2024) | ISMIR 2024
  • Multimodal intent and curation-driven AI augmentation; new paradigms in creation (2024) | Harvard Business School
  • How a New Wave of Tools is Onboarding the Next 100M Music Creators (2024) | Mondo NY
  • International Symposium on AI: new paradigms in Music Creation. Opening talk (2024) | AES & Berklee College of Music
  • AI & Creative intent (2024) | FYI, will.I.am's creative space
  • Creative AI: what Artists and music industry professionals need to know (2023) | Water & Music
  • Inteligencia Artificial en la musica (2023) | Canal 12 Argentina
  • Rise of the Machines: Surviving the AI Music Apocalypse (2023) | NAMM '23
  • Exploring the Latent Spaces of Sounds (2023) | The Audio Programmer
  • Future of Music Summit LA (2023) | Skirball Cultural Center
  • The Future of the DAW: How AI will Change DAWs Forever (2022) | NAMM '22
  • Murdering Beats with Splice’s Ale Koretzky (2021) | Beatseeker Podcast
  • Keynote: Signal Processing & Machine Learning: Audio applications (2021) | TechWeek Argentina
  • Applied Machine Learning for Audio Classification (2019) | Stanford University, CCRMA
  • Demixing and remixing music with Deep Learning (2017) | Stanford University, CCRMA
  • tunesplit: Semantic Equalization (2016) | Stanford University, CCRMA

Contact

You can reach me at 'alejandro' dot 'kor' at 'gmail' dot 'com'. You can also msg me over Linkedin