Elior Cohen
Staff Engineer at Riskified
Israel
Summary
🤩
Rockstar🎓
Top SchoolElior Cohen is a Staff Engineer with a decade of experience operating at the intersection of software engineering and data science, currently contributing to Riskified after leading Data Science Group as CTO. He specializes in taking production-grade ML projects from problem definition through deployment, with hands-on expertise in graph algorithms (notably a node2vec implementation), NLP, cloud-native services on AWS, and CRM-driven predictive models. Elior combines technical leadership with day-to-day engineering: fixing core algorithm bugs, extending features like edge embeddings, and managing scalable architectures. Based in Israel, he brings a practical, product-focused approach to turning complex data problems into actionable systems and has a public footprint on Medium, GitHub and StackOverflow that reflects both curiosity and craftsmanship.
10 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Computer Software Engineering, 90, Bachelor’s Degree, Computer Software Engineering, 90 at Afeka Tel Aviv Academic College of Engineering
English, Spanish, Hebrew
Stackoverflow
12,175reputation
1.6mreached
86answers
119questions
cross-platform
top-5%
tensorflow
top-1%
ubuntu
top-1%
machine-learning
top-1%
pip
top-5%
scikit-learn
top-5%
Github Skills (23)
algorithm10
python10
machine-learning10
machine-learning-algorithms10
ubuntu10
keras10
tensorflow10
neural-network10
embedding10
electron9
cross-platform9
networkx9
gensim9
scikit-learn9
deep-learning9
Programming languages (14)
Github contributions (5)
eliorc/node2vec
Dec 2017 - Oct 2022
Implementation of the node2vec algorithm.
Role in this project:
ML Engineer
ML EngineerContributions:10 releases, 15 reviews, 53 commits in 4 years 11 months
Contributions summary:Elior primarily contributed to the `node2vec` implementation, a machine learning algorithm. Their work involved fixing bugs related to graph traversal and adding support for first travel, indicating a focus on improving the core algorithm's functionality. Furthermore, the user added functionality for edge embeddings and control of verbosity through a quiet flag, showing an understanding of expanding the tool's features and user experience. The user updated the project's dependencies and versioning information as well.
deep-learningembeddingsmachine-learning-algorithmsnode2vecmachine-learning
eliorc/tavolo
Apr 2019 - Jul 2022
Collection of deep learning modules and functionality for the TensorFlow-Keras framework
Contributions:12 releases, 1 review, 158 commits in 3 years 3 months
mxnetcaffe2deep-learningkeras-tensorflowcaffe
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.