Summary
Benjamin Genchel is a Machine Learning Consultant with 11 years of engineering and research experience blending generative ML, music technology, and production-grade systems engineering. He holds an M.S. in Music Technology from Georgia Tech and has shipped forecasting and NLP systems at scale for companies including Spotify and AWS while advising startups on audio ML and media analysis. Benjamin excels at turning academic research into practical products—building generative music models, end-to-end ETL and experimentation pipelines, and automated evaluation tooling for fine-tuning workflows. Comfortable across cloud infrastructure, PyTorch research code, and frontend interactivity, he’s equally at home mentoring teams and owning operational monitoring for model deployments. Based in New York, he brings a rare cross-disciplinary perspective that pairs creativity and music-aware modeling with robust, production-focused ML engineering.
11 years of coding experience
10 years of employment as a software developer
University of California, San Diego
Master of Science - MS Music Technology, Master of Science - MS Music Technology at Georgia Institute of Technology
English, Japanese