Noam Bressler
Founding Engineer at Script.it
Tel-Aviv District, Israel
Summary
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Rockstar🎓
Top SchoolNoam Bressler is a Founding Engineer and former VP R&D with eight years of experience building ML-first products and validation tooling from research to production. Based in Tel Aviv, he progressed at Deepchecks from researcher to VP R&D, contributing key backend and dataset-handling features to the popular open-source deepchecks project that enable robust data/model validation and leak detection. His background in physics (MSc) and the elite Talpiot program informs a rigorous, experimental approach to algorithm design and system reliability. He combines hands-on engineering—especially backend and ML/data engineering—with team leadership and product sensibility, now channeling that into a startup role at Script.it. Notably, his open-source work focused on dataset abstractions and practical checks demonstrates a knack for turning research-grade ideas into widely useful engineering components.
8 years of coding experience
6 years of employment as a software developer
Excellence Program for Technological Leadership, Excellence Program for Technological Leadership at Talpiot ProgramMaster of Science (MSc), Physics, Master of Science (MSc), Physics at Tel Aviv UniversityBachelor of Science (BSc), Physics, Bachelor of Science (BSc), Physics at The Hebrew University of Jerusalem
Stackoverflow
11reputation
10kreached
2answers
0questions
Github Skills (11)
pandas10
data-validation10
python10
data-analysis9
data-structure9
machine-learning9
data-structures9
documentation7
evaluation6
r6
classification6
Programming languages (3)
Github contributions (5)
deepchecks/deepchecks
Oct 2021 - Jan 2023
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:1266 reviews, 290 commits, 485 PRs in 1 year 2 months
Contributions summary:Noam primarily contributed to the development of a `Dataset` class, extending the base class with features relevant for machine learning tasks. Their focus was on providing functionality to handle labels, categorical features, and index/date columns, while implementing utility methods for common use-cases like type validation. Moreover, the user added functionality to read datasets from different formats. The commits also included implementing checks for index leakage and documentation for the implemented Dataset object.
ml-modelspythonjupyter-notebookdata-modelsmodel-monitoring
deep-voice/soundbay
Mar 2021 - Jan 2023
Deep Learning Framework for Bioacoustics
Contributions:66 reviews, 120 commits, 48 PRs in 1 year 10 months
caffe2spectrogramtheanotensorflowframework-learning
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