Senior AI Analyst · Former Senior Intelligence Analyst
Building agents, automations, and data systems that do genuinely useful things
I came up as a Senior Intelligence Analyst - trained to find signal in noise, structure ambiguous problems, and turn complex information into clear decisions under pressure. That same operating mode now drives my work in AI.
As a Senior AI Analyst I design, evaluate, and build agentic systems, automation pipelines, and data infrastructure. I also pilot emerging technologies before they're mainstream - running real assessments, POC builds, and adoption frameworks that move organisations from curiosity to capability. In my own time I prototype and experiment, building agents for the sheer interest of it.
Now Senior AI Analyst
Agentic systems design and evaluation, AI tool piloting,
automation workflows, and data engineering in Databricks.
Bridging intelligence tradecraft with emerging AI capabilities.
Previously Senior Intelligence Analyst
Structured analysis under ambiguity, intelligence production,
data discovery, and communicating findings to decision-makers.
SQL, Python, and Power BI as primary tools.
Throughout Data Visualisation & Automation
Power BI dashboards and reporting pipelines. Automation of
manual workflows via scripting, Power Automate, and n8n.
Make data legible. Make repetitive work disappear.
| Area | Description |
|---|---|
| 🤖 Agentic Systems | Multi-agent orchestration, memory, tool use, and human-in-the-loop design - POC through to production assessment |
| 🔬 Technology Piloting | Structured pilots and POC evaluations of new AI tools - building the evidence base for real adoption decisions |
| 🌐 Web Intelligence | Agent-driven web scraping, structured extraction, and monitoring frameworks at scale |
| ⚡ Workflow Automation | Connecting AI to enterprise systems via n8n, Power Automate, and MCP-based tool pipelines |
| 🏗️ Data Engineering | Databricks, PySpark, learning dbt - turning raw data into clean, queryable assets that feed intelligent systems |
| 📊 Data Visualisation | End-to-end Power BI reporting pipelines - making data legible for people who need to act on it |
Agent & Orchestration
Automation & Workflow
Web AI & Scraping
Data & AI Engineering
Visualisation
Languages & Core
GenAI Platforms
The agentic AI landscape moves fast. Here's what I'm actively tracking right now.
| Tool / Protocol | Why It Matters |
|---|---|
| 🔵 LangGraph | Stateful, graph-based multi-agent orchestration - the standard for complex branching workflows in 2026 |
| 🩵 A2A Protocol | Google's agent-to-agent communication standard - cross-platform interoperability for agent fleets |
| 🟣 Browser Use | Agent-native browser automation - 78k GitHub stars, rapidly replacing Playwright for agentic web tasks |
| 🔵 Mem0 / Agent Memory | Persistent memory layers - episodic, semantic, and procedural memory that makes agents useful over time |
| 🩵 Crawl4AI | LLM-optimised web crawling - clean markdown output purpose-built for feeding language models |
| 🟣 Composio | Open-source tool integration layer - auth-managed connectors for plugging agents into real enterprise apps |
| 🟢 AutoGen v0.4 | Microsoft's redesigned multi-agent framework - async, event-driven, built for production |
| 🟠 Agent Observability | LangSmith, LangFuse, Arize - tracing, evaluation and monitoring for agents running at scale |
Intelligence analysis Multi-agent systems Data visualisation Technology piloting Web intelligence Workflow automation AI for professional services Prompt engineering Data discovery Open source Ergonomic keyboards Colemak DH