Micha Gorelick
Co-Founder Investigative Data Engineer
Montpellier, Occitania, France
Summary
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Rockstar🎓
Top SchoolMicha Gorelick is a co-founder and investigative data engineer with 17 years of experience building production-grade data and ML systems for journalism, research, and civic tech. Based in Montpellier, she blends deep applied research (PhD-level physics/astrophysics training) with hands-on engineering—from optimizing GPU workloads and distributed predictors to improving stateful RNN behavior in Keras. She has led and shipped tooling and back-end features for notable open-source projects (including contributions to Keras and Aleph) and co-founded ventures focused on ethical, responsible technology like Probable Models and Digital Witness Lab. Her background spans machine learning research roles at OCCRP and Fast Forward Labs, senior engineering at Cloudera, and real-time data work at bitly, showing a rare mix of production instincts and research rigor. Colleagues rely on her for pragmatic performance improvements and data-modeling nuance, while her open-source contributions reveal a focus on reliability, efficiency, and reproducible analysis.
17 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at New York UniversityBachelor of Science (B.Sc.) Computational Astrophysics, Bachelor of Science (B.Sc.) Computational Astrophysics at University of Toronto
English, French, Italian, Spanish
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (42)
data-visualizations10
javascript10
python10
css10
machine-learning10
data-visualisation10
recurrent-neural-networks10
searching10
keras10
deep-learning10
tensorflow10
neural-network10
computer-vision10
data-visualization10
d3js10
Programming languages (14)
Github contributions (5)
mynameisfiber/high_performance_python
Aug 2014 - Sep 2014
Code for the book "High Performance Python" by Micha Gorelick and Ian Ozsvald with OReilly
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 commits, 1 comment, 1 issue in 1 month
Contributions summary:Micha primarily focused on code style improvements and bug fixes within the `asizeof.py` file, applying the `autopep8` tool for automated formatting. Additionally, the user updated the `norm_squared.py` script for plotting and performance testing. The user also made other minor changes, including adding a `readme` file and updating norms.
pythonoreillyperformancehigh-performanceian
alephdata/aleph
Jul 2020 - Feb 2022
Search and browse documents and data; find the people and companies you look for.
Role in this project:Back-end Developer
Back-end DeveloperContributions:10 reviews, 25 commits, 13 PRs in 1 year 7 months
Contributions summary:Micha primarily contributed to the backend of the `aleph` project, focusing on features related to profiles, entity management, and cross-referencing. Their work included implementing soft-deleting for judgements, migrating linkages to use EntitySets, and adding API endpoints for entityset management. The user also added features like sampling entities and dumping profiles. Their contributions demonstrate a focus on data management and the application's core functionality.
lookinvestigative-journalismpythondata-searchgraph-database
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