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25 April 2026 — Technical Webinar: The Intelligent Engineer

Nigerian Society of Engineers, Glasgow Branch (Scotland, UK) — April Technical Session & Monthly General Meeting

I delivered a 90-minute live technical webinar to the Nigerian Society of Engineers (Glasgow Branch) titled “The Intelligent Engineer: Harnessing AI to Excel in Work, Business, and Life.” The session was framed around a simple thesis: AI isn’t coming for your job — it’s coming for your limitations.

NSE Glasgow webinar flyer

Format: 90-minute live screen-share, with prompts and tools demonstrated in real time across Claude, ChatGPT, Google NotebookLM, and Claude Code.

What I covered

The session was structured as a four-level ladder of practical AI use, with three rapid-fire openers and four extended demos:

  • Opening Block — The Wake-Up Call (3 short demos):
    1. The 30-Second Expert — using AI to brief yourself on an unfamiliar topic (a coastal-engineering keynote at COP31) in under a minute.
    2. Roast My CV — using AI as a brutally honest hiring manager to score and rewrite a graduate engineering CV.
    3. Translate My Expertise — turning a dense 5G network-slicing spec into versions for a 12-year-old, a bank manager, and a government minister.

  • Demo 1 — The Content Engine (~15 min): Turning a single source document (a KPMG summary of Nigeria’s new tax reform law) into a citizen’s summary, a small-business brief, a diaspora brief, a LinkedIn carousel, and an Instagram Reel script — followed by a quality-control step to verify every figure against the source.

  • Demo 2 — The Career Accelerator (~15 min): Using AI to build a 3-month portfolio plan for a fresh mechanical-engineering graduate across two parallel tracks (mechatronics and data science), drilling down into a specific Arduino-based IoT project, then designing a data-science portfolio project around the open PeopleSuN Nigeria Energy Survey dataset (3,599 households across three geopolitical zones).

  • Demo 3 — The Research Companion (~15 min): A Claude → Google NotebookLM workflow for going from “zero” to “credibly informed” in a new research area (reinforcement learning for smart-grid energy management) — landscape mapping, deep dives on open questions, structured knowledge bases, audio overviews, and a draft RAEng grant significance section.

  • Demo 4 — The Builder (~15 min): Building a working, document-grounded chatbot live with Claude Code — a Streamlit app that answers questions strictly from the 212-page Nigerian tax law PDF, with section-level citations and a graceful fallback to authoritative sources when an answer is not in the document.

  • Closing Block — The Four Levels: A summary of the ladder (Content Engine → Career Accelerator → Research Companion → Builder), three responsibility rules (AI confabulates, mind what you paste, AI amplifies judgment but never replaces it), and a call to action: every tool used was free or had a free tier.

Why it matters

The session was deliberately practical. Every demo was designed to be reproducible by an attendee in the next ten minutes, on free or free-tier tools, with prompts they could copy and paste directly. The aim was to close the gap between knowing AI exists and using AI well — for engineers, students, business owners, and researchers across NSE branches.

If you would like the prompt script or a recording of the session, please get in touch.