Sergej Schweizer
Data Scientist
Austria
Summary
👤
Senior🎓
Top SchoolSergej Schweizer is a data scientist with nine years of experience blending machine learning, time-series forecasting, and production-ready engineering across industrial and research environments. At RHI Magnesita he builds end-to-end ML solutions—RAG/vector search, Azure OpenAI, Langchain/Langgraph, Spark and MLflow—while emphasizing pipeline parallelization, robust unit testing, and Python design patterns. His background spans AI engineering and systems leadership at FOCUS and VRVis, giving him strong operational instincts for deploying models at scale. Sergej pairs a formal Data Science MS with ongoing Financial Engineering study, reflecting a cross-disciplinary approach that favors practical feature engineering and efficient model lifecycle management. An active practitioner of modern retrieval-augmented architectures, he combines hands-on implementation skills with an eye for production resilience.
9 years of coding experience
10 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Hochschule Albstadt-SigmaringenBachelor, BWL, Bachelor, BWL at Steinbeis-Hochschule-BerlinMaster of Science - MS, Financial Engineering, Master of Science - MS, Financial Engineering at WorldQuant UniversityStatt. geprüft. tech. Assistent für Informatik, Statt. geprüft. tech. Assistent für Informatik at Werner von Siemens BBS 22 - Technikerschule Hannover
Github Skills (24)
python10
django9
management9
audio8
odoo8
erp8
speech-to-text7
speech6
speech-recognition5
ctc5
coreference-resolution5
coreference5
speech-synthesis4
nlp4
asr3
Programming languages (2)
Github contributions (5)
SergejSchweizer/TimeseriesGeneration
May 2023 - Feb 2024
Contributions:12 pushes, 1 branch in 9 months
SergejSchweizer/ARO
Sep 2021 - Sep 2021
Contributions:17 pushes, 1 branch in 12 days
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