sarusso

Joined 8 years ago

Karma
696
Submissions
145
Member since
Mar 21
Computer scientist and computational physicists. Working on data-intensive science. Previously CERN, EF London and a few startups.
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Recent submissions

Comment · 6 months ago
For context: a LOT of people, maybe naively, are now using AI to help them count carbs, and some of these features are already in beta, if not shipping.

That is why I believe this piece from Tim is remarkable: it shows the limitations in a language the diabetes community can understand, and this is why I posted it.

Comment · 7 months ago
The "specific set of actions" is so vague that could range from just opening a specific company page and clicking on a button to performing a complex chain of steps.

This said, it's not that bad, that's true. But the idea of having the personal residential address exposed is not great either.

Comment · 7 months ago
"Our investigation found that it was technically possible for a logged-in registered user to:

1. See certain data not normally published on the public register:

- the day of the date of birth for directors and PSCs

- residential address for directors and PSCs

- company registered email address

2. File updates to any information without consent. For example, new accounts or changes of director."

Comment · 9 months ago
Location: TBD (Italy for now)

Remote: Yes

Willing to relocate: Yes

Technologies: Python, Django, ML/DL, HPC, Docker, Kubernetes, CI/CD, observability, time series modeling, anomaly detection

Résumé/CV: https://sarusso.github.io/CV-Stefano-Alberto-Russo.pdf

Email: stefano dot russo at gmail

I'm a tech lead with interdisciplinary experience across research, industry, and entrepreneurship. I’ve worked at CERN, collaborated with major industry players, and joined startups and scaleups. I also co-founded a startup and participated in Entrepreneurs First.

Now looking for my next challenge, feel free to reach out!

Comment · 9 months ago
What I did in a few projects to plot aggregated (resampled) data without loosing peaks was to plot it over an area chart representing the min-max values before aggregating (resampling). It worked pretty well.

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