DANIEL GORDON
I am an AI scientist, specializing in collaborative multi-agent AI systems to solve complex challenges in finance and defense. As CTO at Sympera AI, I lead the R&D team developing enterprise-grade agentic AI solutions for banking. Currently pursuing a PhD in Distributed Multi-Agent Reinforcement Learning at Tel Aviv University.
Blog
Context Is the Bottleneck: Why Multi-Agent LLM Systems Fail
A close read of Cemri et al. (2025): MAST quantifies why multi-agent LLM systems fail, and why the only reason to split a task across agents is the finite context window. With an interactive telephone-game demo.
Read more →One Bit to Coordinate Them All
How SBC-PE (Kiremitci, Donmez & Sayin, 2025) achieves exact Pareto optimality in arbitrary finite games using one bit of feedback per agent per round, with provable logarithmic regret.
Read more →Achieving Pareto Optimality Through Distributed Learning
A close read of Marden, Young & Pao (2014): a payoff-based rule that drives decentralized agents to the welfare-maximizing profile, with zero communication.
Read more →Agentic AI in Banking: Lessons from Building Production Systems
Insights from deploying agentic AI solutions at scale in US-based banks, from POC to production.
Read more →Cooperative Multi-Agent Systems Without Communication
Exploring how agents can coordinate effectively without explicit communication channels.
Read more →Professional Experience
- Led the R&D team (Engineering, DevOps, Analytics) in developing agentic AI platform, resulting in product launch, multiple paying customers, and recognition as Gartner Cool Vendor for Agentic AI in Banking and Investment Services (2025).
- Oversaw R&D budget, vendor negotiations, and deals; progressed from POC to production deployment in US-based banks, enhancing relationship banking for SMBs.
- Directed development of AI agents increasing lead engagement by 60%; implemented AI-in-the-loop processes and agentic coding frameworks to boost team productivity.
- Secured $10M seed funding round and achieved SOC2 Type II certification, ensuring enterprise-grade security and scalability.
- Set strategic goals, KPIs, and decision-making frameworks.
- Led research and development of AI models for time-series forecasting, risk assessment, and predictive analytics in defense applications.
- Led the AI group during the Haravot-Barzel war.
- Developed predictive models for risk assessment using historical data and extreme value theory.
- Created a framework for AI observability and "What If" scenarios.
- Led computer vision research on medical images for non-invasive diagnostics, collaborating with Leumit and Sheba Medical Center.
- Developed deep learning models and algorithms, resulting in prototypes for image analysis.
- Published research in peer-reviewed journals and presented findings at conferences.
- Taught advanced mathematics courses including Linear Algebra, Probability Theory, Calculus, Logic, and Set Theory to undergraduate students.
- Instructor for Group Theory course in IAF (Aviation Academy).
- Received consistently high evaluations for teaching effectiveness and student engagement.
Education
Doctor of Philosophy (PhD), Electrical Engineering
Master of Science (MS), Mathematics
Bachelor of Science (BSc), Mathematics
Research & Publications
Distributed Multi-Agent Reinforcement Learning
PhD research at Tel Aviv University exploring cooperative distributed multi-agent systems, focusing on zero-communication coordination strategies and emergent cooperative behavior.
HEMO-AI: Non-Invasive Anemia Screening
Gordon D, et al. "Artificial intelligence-enabled non-invasive ubiquitous anemia screening: The HEMO-AI pilot study on pediatric population." DIGITAL HEALTH (2024).
DOI: 10.1177/20552076241297057
Sexual Dimorphism of Eye Size in Snakes
Faiman R, et al. "A review of sexual dimorphism of eye size in Colubroidea snakes." Vertebrate Biology (2018): 91–108.
View Publication
Talks & Presentations
- Agentic Tools in Defense Tech — Overview for Officers Israeli Ministry of Defense
- On Cooperative Distributed Multi-Agent Systems with Zero Communication Tel Aviv University
- A Review of Sexual Dimorphism of Eye Size in Colubroidea Snakes The Robert H. Smith Faculty of Agriculture, Food and Environment
Skills & Certifications
Core Expertise
Tools & Platforms
Certifications
- TensorFlow Developer Professional Certificate
- IBM Data Science
- IBM Deep Learning & Reinforcement Learning
- IBM Machine Learning
Let's Connect
Interested in AI leadership, research collaboration, or speaking opportunities