Benjamin Genchel
Visiting Researcher at Neutone
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolBenjamin 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
11 years of employment as a software developer
University of California, San DiegoMaster of Science - MS, Music Technology, Master of Science - MS, Music Technology at Georgia Institute of Technology
English, Japanese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (184)
python10
magenta10
code-completion10
vim10
code-analysis10
piano10
polyphonic10
midi10
transcription10
audio10
generative-art10
music10
typescript10
pitch-detection10
music-generation10
Programming languages (14)
Github contributions (5)
bgenchel/bgenchel.github.io
Sep 2015 - Feb 2022
Personal Website
Contributions:4 PRs, 48 pushes, 4 branches in 6 years 6 months
react
bgenchel/Reinforcement-Learning-for-Music-Generation
Mar 2019 - Oct 2019
My final project for the M.S. Music Technology program at Georgia Tech (GTCMT). Deep Reinforcement Learning for Symbolic Music Generation
Contributions:19 commits, 22 pushes, 1 branch in 7 months
deep-reinforcement-learningsymbolic-music
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