Romeo Kienzler
Senior Scientific Software Engineer - STSM at IBM Research Zurich
Zürich Metropolitan Area Switzerland
Summary
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Rockstar🎓
Top SchoolRomeo Kienzler is a senior scientific software engineer with 11 years of experience specializing in data science, machine learning, and AI infrastructure at IBM Research in Zurich. He has held leadership roles including CTO and Chief Data Scientist for IBM's CODAIT and Watson IoT teams, blending hands-on ML engineering with strategic open-source advocacy. His practical experiments with TensorFlow—covering Keras workflows, SavedModel/TFLite conversions, and LSTM prototypes—illustrate a maker mindset that bridges research prototypes and deployable models. Trained in information systems, statistics and bioinformatics at ETH Zurich and with a background in computer engineering, he combines rigorous academic grounding with long-term industry delivery. Based in the Zürich metro area, he’s known for collaborative leadership and a thoughtful approach to technology exemplified by his guiding motto: “Be kind whenever possible.”
11 years of coding experience
21 years of employment as a software developer
Master of Science (M.Sc.) Information Systems Statistics and Bioinformatics, Master of Science (M.Sc.) Information Systems Statistics and Bioinformatics at ETH ZürichBachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Hochschule Furtwangen
English, Spanish, Portuguese, French
Stackoverflow
3,403reputation
1.2mreached
75answers
87questions
Github Skills (13)
keras10
machine-learning10
tensorflow10
python10
neural-network9
lstm9
tensorflow-lite8
image-recognition8
git6
apache-spark6
deep-learning6
hadoop6
numpy6
Programming languages (17)
Github contributions (5)
romeokienzler/TensorFlow
May 2019 - Oct 2020
Project containig related material for my TensorFlow articles
Role in this project:
ML Engineer
ML EngineerContributions:35 commits, 3 PRs, 33 pushes in 1 year 5 months
Contributions summary:Romeo implemented and experimented with TensorFlow 2.0 features within the repository. The commits demonstrate the setup and use of Keras for a fashion MNIST model, and the creation of a simple neural network from scratch. They also explored SavedModel format for a MNIST model and a subsequent conversion to TensorFlow Lite. Additionally, they experimented with LSTM implementation.
dockertensorflow
romeokienzler/new_horizons
Jul 2021 - Jan 2023
Contributions:33 commits, 3 PRs, 89 pushes in 1 year 6 months
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