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Thomas Lidy

AI & Data Science Team Lead - open for new exciting work

Thomas Lidy is a seasoned professional with 20 years of experience in Music Tech & AI. He has a strong background in leading teams in startups and a 1000-people company. Thomas started his journey in 2004 by conducting research and eventually founded one of the pioneering Machine Learning based Music Tech startups in 2008, where he served as the CEO. His achievements include raising funds, team scaling, expanding to the US, and launching the innovative music discovery app, sonarflow, for the iPad in 2010. Thomas later contributed to Musimap, focusing on delivering groundbreaking emotion-AI based music solutions. Musimap later merged with Utopia Music, offering Thomas the role of Senior Director of AI & Data Science.

With a multifaceted career, Thomas Lidy has accumulated 20 years of expertise in areas such as Machine Learning, AI, music technology, data mining, audio content analysis, and music recommendation. He possesses comprehensive knowledge spanning academia, the music business, and associated industries. Over the years, Thomas has held key leadership positions, including CEO of Spectralmind, Chief Product Officer at myr, Chief Innovation Officer/Head of Machine Learning at Musimap, and Senior Director of AI & Data Science at Utopia Music. Thomas also established and spearheads the Vienna Deep Learning Meetup since 2015 and has garnered accolades in music analysis and Deep Learning competitions.

Thomas Lidy's educational background includes a Doctor of Philosophy (PhD) in Computer Science and a Master of Science (MSc) in Informatics from Technische Universität Wien. He also studied Telecommunications, Image & Sound at Universitat d'Alacant and Economics & IT at High School of Economics. Throughout his career, Thomas has been associated with prominent organizations such as Utopia Music, Musimap S.A., Vienna University of Technology, myr solutions, and Spectralmind. His diverse experience ranges from being a Researcher and Leader of Industry Testbed in MusicBricks to CEO and Founder of Spectralmind, showcasing his versatility in various roles within the tech and music realms.

As a renowned figure in the tech industry, Thomas Lidy is a sought-after speaker and has delivered talks at prestigious events like World Summit AI, Data Innovation Summit, SXSW, MIDEM, and many more. Additionally, he has shared his knowledge at universities such as CEU and NYU Shanghai, underscoring his commitment to education and knowledge dissemination. With a blend of technical prowess, business acumen, and exceptional leadership skills, Thomas is now exploring new opportunities that allow him to leverage his wide-ranging skill set. Whether in startups or larger corporations, he is keen on assuming AI strategic and team lead roles that enable him to contribute significantly to both the technical and business aspects of the organizations.

Throughout his remarkable career, Thomas Lidy has demonstrated a relentless pursuit of innovation and excellence, making him a standout professional in the spheres of Music Tech and AI.

Highlights

Jun 12 · linkedin

AI team is looking for a new home 🙎🏼‍♀️🙎🏽‍♂️🕺🏼🙋🏻💁🏽‍♀️🏠

🦾 Over the last 2.5 years I had the honor to head an excellent team of data scientists and AI experts in the music domain. Our team of 15 people gathered extraordinary team skills and comprised data scientists, data engineers, software engineers and music experts.

This came to an end with Utopia Music recently liquidating several of its entities.

Our Music Intelligence team has built AI based solutions and products for:

🎶 music content analysis, tagging & content-based music search (using Transformer-based Deep Learning models) 🎧 audio content identification / fingerprinting for radio, TV & live monitoring 🎤 understanding music content by lyrics analysis and NLP with latest state-of-the art GPT-based Large Language Models (LLM) 🎸personalization and hybrid music recommendation solutions for streaming services, able to deliver emotion-based playlists 🙎🏼‍♀️ personality profiles from music listening analysis for an advanced music recommendation experience

... and much more!

The products are ready to market and had paying customers. Some of them can be tested here https://lnkd.in/e33zcHTC and here https://lnkd.in/eiRy4Juz .

Utopia went through a series of leadership changes and ultimately failed to execute a coherent strategy.

I had an excellent time heading the AI team and my honor was to gather, head and guide this team, who did an amazing job in both research and development, releasing new product versions on short-paced product cycles.

The team’s skills include: 🦾 R&D for Deep Learning models for audio content analysis 🦾 NLP and adoption of latest state-of-the-art GPT-like LLM 🦾 Adoption of open-source and In-house training of proprietary AI models 🦾 Development of an AI stack, data pipelines, product stacks, customer-facing APIs and UIs 🦾 Roll-out of fully-fledge AI based products, serving customers with millions of users and assets 🦾 Data Engineering, Full-stack, Devops, MLops, etc. 🦾 A strong work attitude and an unmet team bond, despite working together remotely

It was an amazing time working with this team, with great heights releasing top-notch AI solutions, but also holding strongly together in times of crisis.

I wish for this brilliant team to find new opportunities, together or individually. The people are located across Europe, in London, Paris, Vienna, Zurich, Berlin, Stockholm and other cities. This team has shown an incredible work ethic working together remotely, with occasional physical meetings and an amazing team spirit.

You can find the people's names listed under department "Music Intelligence" in the sheet of people laid off by Utopia looking for new positions: https://shorturl.at/MizK6

Please share this post, to help those people find new positions in these exciting times. THANK YOU VERY MUCH! 🙏🏽

#OpenToWork #AI #ArtificialIntelligence #HeadofAI #AITeamLead #MachineLearning #DeepLearning #MusicTech #MusicIndustry #MusicBusiness

Thomas Lidy
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Location

Vienna, Vienna, Austria