Too much noise disrupts learning. I fix that.
I am a Technical Learning Designer specialising in converting dense, complex data into clean, highly structured visual learning assets. With a Computer Science PGCE (Level 7) and a background in neuro inclusive design, I don’t just “make slides pretty.” I use evidence-based pedagogical scaffolding to reduce cognitive friction and prevent user overload.
I am the remote, asynchronous engine behind your training content. If your agency or tech bootcamp has raw code, dry compliance policies, or messy PowerPoint decks, I engineer them into logical, high impact user journeys.
My Core Services:
Corporate Slide Deck Architecture: Transforming text heavy data into clean, corporate ready visual hierarchies.
Technical Content Translation: Mapping CS, software, and technical requirements into accessible learning pathways.
Custom Image Manipulation: Engineering bespoke visual analogies and graphic assets to support complex concepts.
I work entirely remotely and asynchronously. Send me your chaotic raw data, and I will return a polished, pedagogically watertight digital asset.
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Target Audience: A Level Computer Science
The Learning Barrier: Transitioning from theoretical database design to writing functional SQL code. Learners often struggle to differentiate between structural commands (DDL) and data manipulation commands (DML), and they frequently hit a wall when trying to visualize how multiple tables link together through relational joins.
The Visual Strategy: I designed a highly relatable “Music Database” framework to contextualize the abstract code. By visually framing DDL as “building the container” and DML as “manipulating the data inside,” the syntax becomes intuitive rather than intimidating. The deck utilizes clean typography and color-blocking to break down complex queries step-by-step, making concepts like primary and foreign keys accessible.
The Outcome: Students are scaffolded from basic table creation all the way to writing complex SQL scripts, culminating in a final challenge where they successfully utilize multiple JOINs to query a relational playlist system.
Target Audience: GCSE / IGCSE Computer Science
The Learning Barrier: Visualising the invisible architecture of the internet—specifically understanding how data is broken down, dynamically routed to avoid infinite loops, and handled when network hardware crashes.
The Visual Strategy: I engineered a bespoke “unplugged” visual framework, translating abstract packet switching into a tangible “Data Convoy Route” using delivery vehicles and central hubs. To deepen the pedagogical impact, I bridged theoretical networking with practical programming by placing Python while loop logic directly alongside the routing visuals to demonstrate how TTL (Time to Live) actively prevents endless network traffic jams.
The Outcome: Learners successfully mapped the visual analogy directly to the technical curriculum, giving them the structural logic needed to confidently construct accurate, 4-mark exam responses on data transmission.
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