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Duana Stanley
Data Engineer
Duana Stanley is an experienced ML Engineer currently working at Cash App.12 She has 17 years of experience in the tech industry, with a primary focus on backend development and a background in full-stack engineering. Duana holds a degree in Science, Software Engineering from the University of Melbourne.1
Some notable achievements and activities of Duana Stanley include:
- Presenting on "Friend Up Your Cash App Game: Building a Machine Learning Pipeline" at AnitaB.org's #GHC23 conference.2
- Giving a talk on "MVP for Data Eng Products" at DataEngConfAU, where she connected lean ideas to data engineering.3
- Speaking at DEB2022 SYD07 on the topic "What is the MVP for Data Engineering projects?".4
- Contributing to discussions about microservices, as evidenced by her involvement in a LeadDev article about the traps on the path to microservices.5
Duana Stanley is based in Berlin, Germany1 and can be found on LinkedIn under the username duana-stanley-34392b2a.2
Highlights
"The MathsJam UK Gathering ('Big MathsJam') is an annual event for maths enthusiasts to get together and share recreational maths, puzzles, games and anything else they think is cool or interesting. It takes place across a weekend, in a conference venue in central England, and is organised by Colin Wright. Attendees include maths fans, monthly MathsJam attendees and organisers, and anyone else who wants to join us. Regardless of your background, education level or ability, all you need is an interest in and enthusiasm for maths of all types.
The next UK Gathering will take place on 2nd - 3rd November 2024, and you can find out more using the links in the menu."
"A generative AI system - such as ChatGPT - might use around 33 times more energy than machines running task-specific software, according to a recent study. However, Google's report also reveals large global disparities in the impacts of its data centres.
Most of the centres in Europe and the Americas get the majority of their energy from carbon-free sources.
This compares with data centres in the Middle East, Asia and Australia, which use far less carbon-free energy."
AUSTRALIA. For shame. Can we just not run AI compute in countries that don't provide carbon-free energy?
