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General Information
Full Name | Daniel Alfasi |
Languages | English, Hebrew |
Education
- 2020-2023
MSc
Reichman University, Herzliya, Israel
- Working on a thesis in the field of vulnerability management and security entities linkage.
- Utilizing knowledge graph reasoning, representation learning, and language models.
- Part of DEEPNESS-lab.
- GPA: 92.37 (Completed all courses)
- 2015-1017
BSc
Ariel University, Ariel, Israel
- GPA: 90
- Completed the cybersecurity track as part of the Cyber Innovation Center.
Experience
- 2022-Today
Researcher
DEEPNESS-lab
- Thesis research topic: Security entities linkage and reasoning using knowledge graphs.
- 2023-Today
Data Scientist
CyberArk, IL
- Designing various machine learning models for security use cases
- Anomaly detection, classification, and clustering
- Data-centric AI
- 2021-2023
Software Engineer
CyberArk, IL
- Architected and developed algorithm for attacks detection
- Secure cloud deployments in AWS using CDK
- Designed and executed scalability benchmarks for processing up to 2 million syslogs per second
- DevOps and Security duties, including deployment and monitoring tool management
- 2019-2020
Researcher
Surecomp - Innovation Lab
- Conducted thorough examination and research of novel technologies and ideas proposed by the team
- Designed and implemented ML models for fraud detection in trade finance
- Won the company's hackathon
- 2018-2019
Software Engineer
Illusive Networks (Team8 company)
- 2016-2018
Software Engineer
Perfecto Mobile (acquired by Perforce)
Honors and Awards
- 2016
- Dean's List
Academic Interests
-
Representation Learning
- Deep learning with graph, knowledge graph embedding
- Language models for semantic search
-
Natural language processing
-
Cyber Security
- Common vulnerability and exposure (CVE)
- Cloud Security
Other Interests
- Hobbies: Surfing and running.