MIR Researcher
I help music companies ship products faster by connecting technical teams with artistic vision. Currently leading innovation at My Sheet Music Transcriptions.
Bridging artistry, technology, and strategy in music
I'm Oriol—a music tech leader who bridges artistry, technology, and strategy. Over a decade of experience building products that musicians actually use.
I thrive at the intersection of artistry, technology, and strategy. While my formal education is music-based, my career has evolved into the music tech space, where I've worked with developers and musicologists alike, built teams, and driven business growth by connecting creative, technical, and product domains.
At My Sheet Music Transcriptions, I'm currently leading research and product development, leveraging open-source technology and the right talent to drive innovation. The value I bring is not only in building the right solutions but also in deeply understanding the craft we aim to empower: music itself—the creative process, the rawness, and the intent behind every note.
My focus is on augmenting the artist's expression and removing the friction of mundane tasks, rather than replacing artistry with sterile efficiency.
What I bring to every challenge:
On AI, technology, and cultural responsibility: I stand by the ideas expressed in my longform piece on music, technology, and the future of creativity.
As automation and so-called "AI" gain ground in creative fields, we must be vigilant in protecting the irreplaceable essence of human artistic expression. I'm committed to advocating for technology that augments (not replaces) creativity, and for keeping human meaning, intention, symbolism, and shared culture at the center of all technical advancements.
Read the full articleTerrassa, Barcelona
Spain
Professional journey in music technology
Growth Lead & Product Owner (January 2025 — Present)
Leading R&D, innovation, and product roadmap. Built and managed a 6-person cross-functional team of developers and musicologists. Co-curated a SOTA dataset of 4,000+ musical pieces and 200+ hours of audio. Forged strategic collaborations with academic research groups to integrate and develop technologies into our use cases. Working on deep learning for machine translation.
Member of the Scientific Committee (March 2024 — Present)
Contribute expertise in MIR, AI, and product innovation to guide the research agenda for open large-scale AI models. Support initiatives connecting academia and industry, enabling collaborations with MTG alumni and music-tech leaders. Influence long-term strategy to advance music understanding through AI, contributing to the Chair's positioning as a leading hub in the field.
Key Account Manager & Tech Lead (June 2023 — December 2024)
Managed €168K+ in key accounts that generated a 34% increase in annual revenue. Led an 11-person cross-functional team across music and tech. Proof-edited and curated thousands of musical scores across genres, ensuring editorial quality and customer satisfaction. Coordinated technical implementation across business units, aligning innovation with customer needs.
Music Specialist, Growth, and Tech Lead (January 2022 — June 2023)
Supported growth strategy by blending domain expertise in music with technical insight, achieving 40% growth during that period. Launched initiatives that optimized B2C customer experience, resulting in shorter onboarding times and higher service adoption.
Assistant Manager (May 2020 — December 2021)
Helped colleagues scale business processes and bandwidth, achieving a 36% growth rate during that period. Delivered global customer service support covering all steps of the funnel journey. Coordinated team scheduling and task management to ensure smooth daily operations.
Music Transcriber (September 2019 — May 2020)
Produced ~20 high-quality transcriptions and arrangements per month. Delivered 200+ projects to clients, all on time. Developed craft across multiple genres with high accuracy and attention to detail in accordance with client specifications.
Musician (September 2013 — Present)
Performed live at venues and events across Spain, engaging audiences of up to 500+ people. Composed and arranged original works for ensembles, media, and private commissions. Produced and managed independent musical projects from concept to release. Taught guitar and composition.
Academic background
Universitat Pompeu Fabra, Barcelona
January 2020 — January 2024
Specialized in audio signal processing, machine learning, perception and cognition, and semantic technologies to support practical applications related to the analysis, description, synthesis, transformation, and production of sound and music. Grade 8.5.
ESMuC, Barcelona
January 2019 — January 2020
Focus on music for visual media, including courses in composition, orchestration, sound design, and production techniques.
ESEM Taller de Músics, Barcelona
January 2014 — January 2018
The degree combined core music education—such as theory, history, and ensemble work—with specialized guitar training in technique, repertoire, and performance.
Early career experiences
Epidemic Sound, Stockholm
January 2023 — July 2023
Researched deep music embeddings: trained self-supervised triplet networks on raw audio to learn timbre-invariant embeddings, reaching F = 0.288—competitive with early baselines and promising for low-resource music segmentation. Collaborated with the A&R team to initiate music theory seminars, strengthening cross-functional communication and industry insight. Gained first-hand exposure to the Scandinavian music industry, culture, and emerging trends, deepening understanding of how local artistry connects with global audiences.
Specialized training and workshops
Universitat Pompeu Fabra (Music Technology Group)
Advanced workshop focusing on generative AI applications in music technology and composition.
Recent work and highlights
Leveraging self-supervised deep neural networks for deep audio embeddings applied to boundary detection. Research conducted at Epidemic Sound focusing on automatic music segmentation.
Towards a systematic exploration of motif development in Arab-Andalusian Music. Computational musicology research analyzing traditional musical patterns and their evolution.
Leading R&D and product development for an AI-powered music transcription platform. Driving innovation in automatic music transcription using state-of-the-art deep learning models.
Development of internal tools and libraries for music information retrieval tasks, including audio feature extraction, similarity analysis, and metadata generation.
Original soundtrack composition for documentary film exploring Iceland's natural landscapes and cultural heritage. Created atmospheric soundscapes blending electronic and acoustic elements.
Professional recommendations
Whether you're looking to collaborate, discuss a project, or explore opportunities, I'd love to hear from you.
Location
Based in Barcelona, available worldwide
Phone
+34 648 775 980