Daniel Kuznetsov
Beersheba
Summary
AI Security Researcher with experience in LLM alignment and adversarial safety evaluation. Specialized in developing novel vulnerability assessment framework for multi-agent AI systems through AutoGen based experimental implementations. Experience leading a research team and delivering actionable insights on LLM robustness under real-world conditions. Currently finalizing research for AAAI 2026 submission (August 2025).
Overview
5
5
years of professional experience
Work History
Cyber Researcher - LLM Allignment Researcher
Cyber Ben Gurion (CBG), Beersheba
Beersheba
10.2024 - Current
- Conducted systematic literature reviews on adversarial attacks and safety vulnerabilities in LLM systems.
- Synthesized research findings to identify critical gaps in current LLM safety evaluation methodologies.
- Supervised a team of three BSc students, facilitating collaboration and technical skill development.
- Designed a novel evaluation framework for testing LLM alignment robustness under emergent agentic behavior.
- Developing novel jailbreaking methodologies combining emergent behavior with semantic actor networks for AAAI 2026 submission.
- Implemented multi-agent frameworks using AutoGen for systematic evaluation of LLM safety boundaries and alignment robustness under different real world conditions.
- Gained extensive hands-on experience with LLM fine-tuning, alignment techniques, and Python-based ML frameworks.
Research Assistant - Geolocation
Cyber Ben Gurion (CBG), Beersheba
Beersheba
10.2020 - 10.2024
- Designed experiments to test hypotheses, improving accuracy and reliability of research results.
- Planned network simulations using NetworkX Python framework to enhance experiment design.
- Developed experimental setups with NS3 (C++) to evaluate various networking scenarios.
- Collaborated in a team environment, responding directly to professor and master student inquiries.
Education
Master of Science - Cybersecurity
Ben Gurion University
Beersheba04-2025
Bachelor of Science - Data Engineering
Ben Gurion University
Beersheba10-2024
Skills
- Python & PyTorch Development
- Large Language Model Fine-tuning
- LLM Alignment & Safety Evaluation
- Multi-Agent AI Frameworks (AutoGen)
- Agentic AI Protocols (MCP, A2A)
- Machine Learning & Deep Learning
- Experimental Design & Evaluation
- Research Methodology & Literature Review
- Academic Writing
- Research Team Leadership
- Technical Communication
- Project Management
Languages
Hebrew
First Language
English
Proficient (C2)
C2
Russian
Intermediate (B1)
B1
References
References available upon request.
Timeline
Cyber Researcher - LLM Allignment Researcher
Cyber Ben Gurion (CBG), Beersheba
10.2024 - Current
Research Assistant - Geolocation
Cyber Ben Gurion (CBG), Beersheba
10.2020 - 10.2024
Master of Science - Cybersecurity
Ben Gurion University
Bachelor of Science - Data Engineering
Ben Gurion University
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