SebastianSchmidl

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Sebastian Schmidl SebastianSchmidl

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Software engineer and researcher interested in scalable systems and efficient time series mining.

50 followers · 52 following

Snowflake
Berlin Area, Germany
11:02 (UTC +02:00)
https://sebastianschmidl.de
https://orcid.org/0000-0002-6597-9809

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SebastianSchmidl/README.md

Hi there, I'm Sebastian Schmidl 👋

I'm a software engineer for distributed systems at Snowflake ❄️.

I completed my PhD at the chair for Information Systems (💻) at Hasso Plattner Institut for Digital Engineering (HPI), where I investigated computationally complex problems in distributed environments and for time series anomaly detection.

🔭 Research Interests

Scalable and reactive systems, especially using actor programming concepts
Time series anomaly detection
Distributed computing
Data profiling

💻 Current open-source activity

Maintainer @ TimeEval - An Evaluation Tool for Anomaly Detection Algorithms on Time Series
Core developer @ aeon - A toolkit for conducting machine learning tasks with time series data

📫 How to reach me

✉️ by Mail (info [AT] sebastianschmidl [DOT] de)
🏠 Homepage
🏢 HPI homepage
LinkedIn

Pinned Loading

TimeEval/TimeEval TimeEval/TimeEval Public

Evaluation Tool for Anomaly Detection Algorithms on Time Series

Jupyter Notebook 161 20
TimeEval/TimeEval-algorithms TimeEval/TimeEval-algorithms Public

Time series anomaly detection algorithm implementations for TimeEval (Docker-based)

Python 169 32
aeon-toolkit/aeon aeon-toolkit/aeon Public

A toolkit for time series machine learning and deep learning

Python 1.4k 270
TimeEval/GutenTAG TimeEval/GutenTAG Public

GutenTAG is an extensible tool to generate time series datasets with and without anomalies; integrated with TimeEval.

Python 97 17
distod distod Public

DISTOD algorithm: Distributed discovery of bidirectional order dependencies

Scala 9 2
HPI-Information-Systems/DendroTime HPI-Information-Systems/DendroTime Public

Progressive HAC system for variable-length time series

TypeScript