Zvi Baratz
Lead Software Engineer at Quantivly
Tel Aviv-Yafo, Tel Aviv District, Israel
Summary
🤩
Rockstar🎓
Top SchoolZvi Baratz is a Lead Software Engineer with eight years of experience who blends a PhD in Neuroscience with hands-on product engineering to build scalable healthcare platforms at Quantivly. He leads a distributed team while remaining deeply technical—driving architecture, CI/CD, and real-time Django/React systems that turn complex medical data into actionable insights. His background in computational neuroimaging informs robust engineering choices, evidenced by contributions to prominent open-source neuroimaging projects like nipype and nibabel where he improved interface robustness and documentation. Comfortable shifting between individual contributor work and team leadership, he also has practical experience in signal processing and data pipelines from early cancer-detection projects. Based in Tel Aviv, he brings a rare combination of academic rigor, production-grade software craft, and a passion for bridging research and industry.
8 years of coding experience
3 years of employment as a software developer
High School Diploma, High School Diploma at Ironi Daled High SchoolDoctor of Philosophy - PhD Neurobiology and Neurosciences, Doctor of Philosophy - PhD Neurobiology and Neurosciences at Sagol School of Neuroscience, Tel Aviv University
Hebrew, English, German, French
Stackoverflow
33reputation
6kreached
4answers
2questions
Github Skills (21)
nipype10
restructuredtext10
python10
sphinx10
rs10
workflow-engine10
neuroimaging10
documentation10
pytest9
dataflow-programming8
brain-imaging8
dataflow8
data-formats7
data-format7
cluster-analysis6
Programming languages (7)
Github contributions (5)
nipy/nibabel
Feb 2020 - Jan 2023
Python package to access a cacophony of neuro-imaging file formats
Role in this project:
Technical Writer
Technical WriterContributions:32 reviews, 22 commits, 14 PRs in 2 years 11 months
Contributions summary:Zvi primarily contributed to documentation improvements and maintenance within the NiBabel repository. Their work focused on fixing RST errors and warnings, correcting typos, and updating documentation related to specific modules like BIAPs. They also made changes to configuration files and added imports to resolve Sphinx namespace errors, indicating involvement in documentation build processes. These updates enhance the clarity and correctness of the project documentation.
pythontckimagingtrkstreamlines
nipy/nipype
May 2020 - Mar 2022
Workflows and interfaces for neuroimaging packages
Role in this project:Backend Developer & QA Engineer
Backend Developer & QA EngineerContributions:9 commits, 3 PRs, 10 comments in 1 year 9 months
Contributions summary:Zvi primarily focused on modifying the BET interface within the nipype library, a neuroimaging workflow engine, to handle relative paths for input and output files. This involved updating the `_gen_outfilename` method, the `_format_arg` method, and the `_list_outputs` method to ensure correct path handling and prevent potential failures. Furthermore, the user updated the corresponding tests to assert the correct relative path behavior. This indicates contributions aimed at improving the robustness and correctness of the BET interface within the neuroimaging workflow framework.
workflowneuroimagingpythondata-scienceworkflow-engine
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