Machine Learning Engineer & Researcher • Audio / Music / Voice
Developing technologies that enhance the human listening and visual experience through the intersection of signal processing, machine learning, and creativity.
🎮 Space Moths - Quantum AI-powered level generation for gaming
🎼 RECURSE - Infinite music streaming powered by quantum-classical hybrid ML models
🎛️ Neural Audio Processing - Real-time, low-latency models for professional audio applications
🎵 Music Information Retrieval
🔊 Audio Signal Processing
🤖 Explainable AI
⚡ Real-time ML Systems
🎹 Computational Musical Creativity
Making music emotion recognition interpretable and transferable
- Developed novel approaches to decode emotional expression in piano performances
- Created domain adaptation techniques for cross-dataset model transfer
- Published in top-tier conferences (ICML, ICASSP, ISMIR)
From research to production-ready systems
- Optimized neural models for sub-10ms latency audio processing
- Built end-to-end condition monitoring systems deployed on embedded devices
- Improved architectures for real-time guitar amplifier modeling
Exploring the what quantum-classical hybrid ML systems can achieve in the creative space
- Productionizing quantum reservoir learning for music generation and game level generation
- Leading research at the intersection of quantum computing and creative AI
- 📧 Email: shreyan0311@gmail.com
- 🔗 LinkedIn: Connect with me
- 📚 Google Scholar: Research Publications
- 🌐 Location: Innsbruck, Austria