Specializing in Multi-Agent Architectures, Model Context Protocol (MCP), and LLM Observability on Google Cloud
I am an AI Systems Engineer and Electrical Engineering student at the University of Ibadan, building resilient, production-ready autonomous multi-agent systems, Model Context Protocol (MCP) tool ecosystems, and enterprise agent observability platforms.
- π§ Autonomous Agentic Systems: Multi-agent asynchronous DAGs, human-in-the-loop, guardrails, and deterministic tool bindings.
- β‘ Model Context Protocol (MCP): Authoring stdio & SSE MCP servers/clients interfacing real-time observability telemetry (Grafana, GitHub, Jira, Slack).
- βοΈ Google Cloud & Vertex AI: Vertex AI Reasoning Engines, Cloud Run deployments, GCP IAM, ..d.
- π Honors & Recognition: Google Developer Diamond League status (6,000+ points) across specialized AI agent tracks.
Autonomous AI Chief of Staff correlating cross-functional engineering telemetry (GitHub PRs, Jira epics, Slack discussions) via ABAC security perimeters to proactively diagnose delivery blockers.
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Key Highlights:
- π Live Production Deployments: Cloud Run web application & Vertex AI Agent Engine (
us-central1). - π Hybrid MCP Protocol: Dual
stdioand Server-Sent Events (SSE) MCP servers. - π‘οΈ Enterprise Security & ABAC: Fine-grained Attribute-Based Access Control ($P(U, R)$) and inline PII sanitization.
- π§ͺ Hermetic Quality: Complete 5-tier test matrix with 157 hermetic automated tests.
- π Live Production Deployments: Cloud Run web application & Vertex AI Agent Engine (
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Tech Stack:
Python 3.11,FastAPI,Gemini 3.7 Flash,Google Vertex AI,Model Context Protocol,OpenTelemetry,Docker,Cloud Run. - Live Demo: Prometheus Live Dashboard
Enterprise VFX & Virtual Production Ops Copilot built for the Agentic Cinema Hackathon (Grafana Labs Track). Autonomously monitors, diagnoses, and self-heals VFX 3D render farms (Blender Cycles, Unreal Engine 5.4 Nanite) and virtual production LED volumes.
- Key Highlights:
- π€ Specialized Multi-Agent Crew: Sentinel, Diagnostic, Remediation, and Executive agents with role-tailored reasoning budgets.
- π Grafana MCP Integration: Direct tool querying for Loki logs, Tempo distributed traces, and Mimir telemetry.
- π₯οΈ Cinematic Command Center: Dark-mode high-density operational UI with real-time incident simulators.
- Tech Stack:
TypeScript,Next.js 14,Vertex AI (Gemini 3.7 Flash),Grafana MCP,TailwindCSS,Google Cloud Run. - Live Demo: Showrunner Production URL
Command-line tool automating prompt generation, synthetic evaluation, and iterative refinement using Google's Agent Development Kit and Gemini models.
- Tech Stack:
Python,Google Gemini SDK,CLI System Design,Evaluation Frameworks.
Real-time surplus food redistribution system matching local restaurants and event donors with food banks and shelters using Gemini multimodal classification and geolocation routing.
- Tech Stack:
Angular 20,TypeScript,Google GenAI SDK,TailwindCSS.
| Domain | Technologies & Frameworks |
|---|---|
| Agentic AI & LLMs | Model Context Protocol (MCP), Multi-Agent DAG Orchestration, Google ADK, Vertex AI Agent Engine, Gemini 3.7 Flash Hybrid Reasoning, Tool Calling |
| Cloud & Deployment | Google Cloud Platform (Cloud Run, Vertex AI, Cloud Build, Secret Manager, IAM, ADC), Docker |
| Backend & APIs | Python (FastAPI, AsyncIO, Pydantic, Uvicorn), Node.js, Express, REST APIs, Server-Sent Events (SSE) |
| Frontend & UI | TypeScript, React, Next.js, Angular, Tailwind CSS, Vite |
| Observability & Testing | OpenTelemetry, Grafana (Loki, Tempo, Mimir), pytest (Hermetic Testing Suites), LogQL |
| Databases & State | Firestore, SQLite Checkpointing, LocalStorage / State Machines |
I am open to AI Engineering roles, contract / freelance multi-agent systems consulting, and innovative hackathon collaborations.
- π§ Email: brightonwe30@gmail.com
- π¦ Twitter/X: @bladeofshanghai
- π Google Developer: g.dev/brightonwe
- π Kaggle: kaggle.com/brightonwe