Web3 x AI Product Design
Building practical onchain products with intelligent automation and clean UX.
Materialist Scientist • Business Excellence Engineer
Tolu Shekoni builds high-leverage systems at the edge of Web3, AI, and Data Science.
I design measurable products and decision systems that move from concept to production with precision, speed, and economic clarity.
Operating Thesis
I approach technology as applied science: hypotheses, instrumentation, feedback loops, and iteration. The goal is not novelty for novelty’s sake; the goal is durable business outcomes.
Core Disciplines
- Business ExcellenceProcess intelligence, KPI architecture, execution systems
- Web3 EngineeringProtocol-native product design, trust-minimized workflows
- AI SystemsAgentic workflows, automation strategy, model operations
- Data ScienceSignal extraction, forecasting, decision support pipelines
Current Focus Areas
Operational Intelligence
Turning business operations into measurable systems with closed-loop optimization.
Data-Driven Execution
Using high-quality metrics and causal thinking to guide product and growth bets.
Selected Work Directions
01
Protocol-Aware Growth Systems
Frameworks for launching and scaling decentralized products with measurable market fit.
02
AI-Augmented Business Engineering
Decision and workflow engines that reduce entropy and increase execution velocity.
03
Applied Research to Production
Moving technical insight into shipped interfaces and robust delivery pipelines.
Featured Repositories
A curated showcase from wijnaldum-eth, tolu-jnj, and ToXMon across hackathons, experiments, and product builds.
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Let’s build something unfairly effective.
If you’re building in Web3, AI, or data-intensive products and need rigorous execution with aesthetic quality, let’s talk.