Daniel Arkushin
Algorithm Developer at WSC Sports
Israel
Summary
🤩
Rockstar🎓
Top SchoolDaniel Arkushin is an algorithm developer with six years of experience building back-end systems and computer vision algorithms for autonomous systems and sports technology. He has held roles at Palo Alto Networks and Elbit Systems and is currently applying his algorithmic and engineering skills at WSC Sports. Daniel combines an MS in Computer Science from The Hebrew University of Jerusalem with hands-on experience hardening integrations and simplifying configurations in open-source security orchestration content like Cortex XSOAR. He focuses on robust error handling and pragmatic defaults, a pattern visible in his contributions that improve reliability of complex integrations. Comfortable bridging research-grade algorithms and production systems, he brings a practical, detail-oriented approach to turning vision and security models into reliable shipped features.
6 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at The Hebrew University of Jerusalem
Github Skills (5)
error-handling10
python10
api9
apim9
configuration-management8
Programming languages (4)
Github contributions (5)
demisto/content
Mar 2020 - Jan 2023
Demisto is now Cortex XSOAR. Automate and orchestrate your Security Operations with Cortex XSOAR's ever-growing Content Repository. Pull Requests are always welcome and highly appreciated!
Role in this project:
Back-end Developer
Back-end DeveloperContributions:31 reviews, 131 commits, 275 PRs in 2 years 11 months
Contributions summary:Daniel's contributions primarily focus on enhancing the functionality and robustness of the BPA integration within the Demisto/content repository. The commits involved adding conditional checks to handle potential `None` values for port parameters and modifying the BPA.py file. Furthermore, the user added default values to the PORT and removed parameters from the yaml files, focusing on error handling and simplifying configurations. Finally, the user was involved in merging a branch.
securityxsoar-contentactive-repository
bar371/GEFF
Nov 2022 - Jun 2024
Official implementation of the paper GEFF: Improving Any Clothes-Changing Person ReID Model using Gallery Enrichment with Face Features.
Contributions:1 review, 3 PRs, 3 pushes in 1 year 7 months
face-detectionface-recognitionperson-re-identificationperson-reidperson-tracking
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