Temisan Gerrard
SYSTEMS ARCHITECT // PRODUCTION READY

I build AI systems that run in production — not just in demos.

Moving beyond wrapper APIs. I engineer the underlying state machines, autonomous runtimes, and operational safety layers that transform LLMs into resilient business infrastructure.

BASE MAINNET LIVE/ POLYMARKET HEDGE INTEGRATION/ AUTONOMOUS BOT RUNTIME/ AI OPS ADMIN SYSTEM/ 444 COMMITS/ 4 PRODUCTION APPS/ BASE MAINNET LIVE/ POLYMARKET HEDGE INTEGRATION/ AUTONOMOUS BOT RUNTIME

The AI
Operating
Stack

Architecture is about what remains after the hype fades. My stack prioritizes predictability over magic.

"Most AI projects only build layer 3. Layers 4 and 5 are where production lives."

LAYER 05 Reliability [Guardrails]
LAYER 04 Ops [Observability]
LAYER 03 AI Execution [Inference/Reasoning]
LAYER 02 State [Vector/Cache]
LAYER 01 Core System [Infrastructure]

Core Competencies

terminal

Custom Runtimes

Building specialized execution environments for autonomous agents with strict memory and cost constraints.

schema

Workflow Orchestration

Designing complex multi-agent DAGs that handle edge cases, retries, and human-in-the-loop approvals.

security

System Governance

Implementing semantic firewalls and evaluation pipelines to ensure LLM outputs remain within deterministic bounds.

database

Production Data RAG

Moving beyond simple vector search into high-fidelity hybrid retrieval systems for enterprise knowledge bases.

FEATURED CASE STUDY

Autonomous AI
Betting Arena —
Base Mainnet

  • 01

    Engineered a self-correcting agent that monitors Polymarket odds and executes hedging strategies on-chain via Base.

  • 02

    Reduced latency through a custom state synchronization layer between LLM reasoning and smart contract events.

  • 03

    Implemented an AI Ops admin dashboard providing real-time visibility into the agent's decision-making logic and risk scores.

System Architecture Visualized
Technical circuit board

Engagements

Sprint 01

AI Architecture Sprint

In 5 working days: layered system diagram, build-vs-buy decision matrix, risk-flagged implementation roadmap.

£8,500 5 Days
Build 02

Production Build Sprint

Deployed system, environment docs, runbooks for the 3 most likely failure modes, and a 30-day async support window.

£18,000+ 4–8 Weeks
Ops 03

AI Ops Layer

Structured logging, alerting, the 5 critical failure runbooks, and an admin ops surface for non-engineers to monitor and intervene.

£12,000 2–3 Weeks
Audit 04

System Audit

AOS Scorecard across all 5 layers. Scored 1–5 per layer. Delivered as a structured report with priority findings.

£4,500 3–5 Days

If your AI project is stuck between prototype and production, let's talk.

Book a Free 30-Min Call Direct Message

Available for Q2 2026 consulting engagements.