Builder in public · AI systems · Web3 products · Data science

Tolu Shekoni turns bootcamp velocity into shipped, verifiable products.

I build at the intersection of agentic AI, onchain trust, and data-driven product systems — then publish the proof: live demos, repos, docs, and deployment artifacts.

Live demos
Cloudflare + GitHub Pages
Bootcamps
AdaL · Encode Solana
Hackathon work
Monad · AgentTrust
Proof before polish Live links over claims Bootcamp velocity, production standards

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. Every system I build starts with a measurable hypothesis, gets instrumented for feedback, and ships when the numbers confirm it works.

Core Disciplines

  1. 01

    Business Excellence

    Process intelligence, KPI architecture, execution systems.

  2. 02

    Web3 Engineering

    Protocol-native product design, trust-minimized workflows.

  3. 03

    AI Systems

    Agentic workflows, automation strategy, model operations.

  4. 04

    Data Science

    Signal extraction, forecasting, decision support pipelines.

Selected Work

Proof-first projects: shipped pages, live APIs, devnet programs, and documented agent systems.

Live demos lead. Repos and docs back the claims. Local-only experiments stay clearly labeled until they earn a public artifact.

01 Live

Crypto Scanner

Autonomous DeFi scanning system for signals, edges, and fast decisions across multiple chains.

02 Live

X Monitor

Signal extraction and social monitoring for narrative, trend, and alpha detection.

03 Infrastructure

AgentTrust

Trust infrastructure and wallet-native patterns for agent coordination and verification.

04 Live

Memory Palace

Knowledge systems that preserve context, recall, and durable output for agentic workflows.

05 Tooling

Agent Skills

Twenty-plus skills turned into reusable shipping leverage for real agent workflows.

Contact

Hiring, collaborating, or building something ambitious?

I’m looking for roles, collaborators, and client work where fast technical execution needs clear product judgment.