visuale.com.au

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Over 12+ years data wrangling, storytelling & visualising in the enterprise & emerging tech space.

Building things that last
...by breaking them in stealth.

Download CV/Resume

Microsoft Certified
Google Certified

My LinkedIn

WIWO - What I’m Working On


DP-6 Double O - License to Engineer

I’m on a journey back into the enterprise space having spent the last 2-3 years mostly on raw visualization, custom visuals with a little dabble in data engineering and powerBI

A few certs from Google and Microsoft (DP-600) late in the year takes me to mission-ready status as a Fabric data ‘engineer’…


Inbetween Tech stacks as a tech-tical operator

Throughout my career I have often bounced between enterprise-heavy tech stacks and lightweight-agile stacks (fintech / startups). Balancing my Learn rate vs Burn rate (mostly while billing), BYOD vs project sponsored/managed, lean vs monolith… it does makes for a lot of overthinking/over-engineering at times but there are ways of thinking to give you a better perspective of what the business needs, appetite and priorities are. This is my brain dump as a tactical operator operating in between Enterprise v Entreuprener stack


The fog of the talent war

My use visualizations in my CVs/resumes has evolved with the arms race that is the war for talent. The first few generations I remember it was always in order to strike some semblance of balance in the IA (information architecture): Getting the right mix of visuals vs semantics - i.e. right placement of lists, timelines and edu-perience / achievements in order to be scanned optimally (by both the human as well as machine/artificial eye). Maintaining multiple / managed versions was never something I would go back to and so I’ve shifted towards balancing of ‘visual & data storytelling’ in my current design philosophy.

Is there a place for the visualCV? Designing around applicant tracking systems (ATS) was always going to be black-box engineering. I’m always wary that any visually complex designs can be penalized and there is always undeniable truth that content structure and keyword optimization mean that visuals have to be muted in favor of metadata extraction. The hybrid approach I’m currently tinkering with at the moment involves the combo of metadata, markdown and generative text via themes. Using AI to outsmart AI will never be a finite game and so the use of GenAI should be the best way to catch (the attention) of the ‘human in the loop’.