Johnny Deblase
Lead Application Developer
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolJohnny Deblase is a Lead Application Developer with 11 years of experience building scalable Python-based statistical and machine learning applications for urban energy research at the CUNY Building Performance Lab. He combines deep technical expertise across Python, Django/Flask/FastAPI, PostgreSQL, Redis, gRPC, and containerized deployments with practical data science tooling like pandas and scikit-learn to deliver production-ready analytics for building scientists. Johnny’s background in music composition and audio programming (MA from NYU) informs a creative approach to systems design—his graduate work paired neural networks, NLP, and SuperCollider for generative composition. He’s an experienced presenter (JupyterCon 2017) and favors interactive, notebook-driven workflows and real-time web tooling to make complex network and visualization analytics accessible. Based in New York, he balances research-driven product development with hands-on engineering across languages and architectures, from low-level services to modern web APIs.
11 years of coding experience
Master of Science - MS, Data Analytics, Master of Science - MS, Data Analytics at The City University of New YorkMaster of Arts - MA, Music Theory and Composition, Master of Arts - MA, Music Theory and Composition at New York University
Github Skills (16)
csound9
nodejs-application7
python6
packaging5
dependency-management4
dependency-manager4
jupyter4
parser2
kernel2
envelope1
statistics1
probability1
jupyter-notebook1
supercollider1
python-packaging1
Programming languages (5)
Github contributions (5)
bsnacks000/poetry-docker
Aug 2021 - Mar 2025
Contributions:1 release, 7 pushes, 1 branch in 3 years 7 months
cunybpl/normalsparser
Feb 2021 - Jan 2023
python parser for noaa normalized hourly weather data
Contributions:4 releases, 1 review, 1 PR in 1 year 11 months
meteorologynormalizedpythonhourlypython-parser
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