Julien Herzen
Sr Engineering Manager at Isomorphic Labs
Lausanne, Vaud, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolJulien Herzen is a Sr Engineering Manager at Isomorphic Labs in Lausanne with about 10 years of experience building production ML and data platforms. He created and led development of Darts, a widely used open-source Python library for time series forecasting and anomaly detection, and remains an active contributor to its modular, PyTorch-backed codebase. With a PhD in network algorithms from EPFL, he blends rigorous research with production engineering—having built a 30+ node networking testbed and production pipelines at Swisscom handling millions of data points per second. As a former Area Director at Unit8 he helped scale the company from a handful of people to over a hundred while driving product and technical strategy. An unusual but telling detail: summers spent driving heavy trucks shaped his knack for logistical thinking and pragmatic optimization, a theme that runs through his work in distributed systems and time series ML.
11 years of coding experience
12 years of employment as a software developer
Ecole polytechnique fédérale de LausanneMaster of Science - MS, Communication systems, Master of Science - MS, Communication systems at EPFL (École polytechnique fédérale de Lausanne)
French, English, German
Stackoverflow
151reputation
7kreached
6answers
0questions
Github Skills (23)
dataanalysis10
timeseries10
python10
model-driven10
scikit10
machine-learning10
time-series10
backtesting10
backtest10
forecasting10
model-building10
scikit-learn10
forecast10
modeling10
model-driven-development10
Programming languages (7)
Github contributions (5)
unit8co/darts
Sep 2018 - Jan 2023
A python library for user-friendly forecasting and anomaly detection on time series.
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:1027 reviews, 1473 commits, 433 PRs in 4 years 5 months
Contributions summary:Julien contributed to the development of a time series forecasting library, "darts", by implementing various machine learning models and backtesting functionalities. Their work included the design of a modular architecture for time series models, with an emphasis on model selection and evaluation. They focused on incorporating and extending existing forecasting models, primarily implementing new features with Python, scikit-learn and PyTorch, while maintaining code quality through testing.
forecastingpython-libraryanomalypythontime-series-analysis
hrzn/hrzn.github.io
Nov 2019 - Nov 2024
Contributions:14 pushes, 1 branch in 5 years 1 month
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