I work at the intersection of AI systems, autonomous agents, crypto infrastructure, and applied economics.
I'm currently building Northset and exploring how agentic software, reproducible evidence workflows, and verifiable coordination can become real products. Alongside that, I'm an Assistant Professor of Management Science at Ivey Business School, where my work draws on operations research, statistics, machine learning, pricing, and market design.
- Building AI-native tools and workflows with a bias toward real deployment
- Designing agentic systems, research/evaluation pipelines, and coordination patterns
- Working on crypto, blockchains, and mechanism design with an interest in verification and market structure
- Teaching and applying pricing, revenue analytics, optimization, and data science
- autonomous-agentic-research-swarm - file-based multi-agent research workflow template
- sumr-token-value-accrual-analysis - reproducible forensic analysis of token value accrual
- l2-l1-causal-analysis-repro - reproducibility package for Ethereum L2/L1 causal analysis
- pricing-revenue-analytics-course-codes - code and teaching material for pricing and revenue analytics
- plan-orchestrator - stdlib-first Python orchestrator for running reviewed markdown playbook items one at a time in isolated git worktrees
A meaningful share of what I'm building right now is private, early-stage, or product-facing. The public repos here are best read as examples of the themes I spend time on: agentic systems, reproducible research, crypto/data infrastructure, and applied ML.
- Website: aysajaneziz.com
- Academic profile: Ivey Business School
- LinkedIn: Aysajan Eziz
- Email: aysajan1986@gmail.com


