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SFELC - Keeping Up With the Caldwells A Guide to Navigating Wild, Uncomfortable, and Downright Crazy Career Changes for Fun and Profit by Nick Caldwell, Tia Caldwell
Tia and Nick Caldwell share the tips and tricks of job switching in Silicon Valley. When to to stay, when to go. Evaluating culture. Inheriting salty teams. Mission versus money. And more! It's all covered in this excitedly candid 30 minute fireside chat + Q&A featuring two engineering management powerhouses. Leave Q&A in advance on twitter @nickcald @_Tiacaldwell
Denver Startup Week
DSW 2020: From “Hello World” to VP of Engineering with Nick Caldwell (Twitter), moderated by Aaro...
This event is part of Denver Startup Week 2020. Register and view the full schedule of events at https://www.denverstartupweek.org/schedule Nick Caldwell has embodied the dream career trajectory in software engineering, starting out as an individual contributor to VP of Engineering for one of the world's most recognizable brands. Nick's career has spanned working for multiple tech giants, prominent Board seats, a major acquisition and even angel investing. In this session, Aaron Clark will engage with Nick to learn more about his journey towards leadership, scaling engineering teams, his take on diversity \u0026 equity, and what it was like to join Twitter in the midst of a global Pandemic, an election year, and the racial reckoning of 2020.
Next Steps Conference
Engineering Your Career Ft. Nick Caldwell
In April of 2020, The Next Steps team was motivated to help individuals pursuing careers in engineering, technology, and entrepreneurship but found themselves paralyzed by the COVID19 Pandemic. Like so many of us, these individuals found themselves unsure about what are the Next Steps. We put together DevCon, a virtual conference where we focused on three areas: how to get started, how to level up in your career and shed light on entrepreneurship for engineers.
Predicting Community Engagement on Reddit using Tensorflow, GDELT, & Cloud Dataflow (Cloud Next '18)
What if you took a huge cross-section of the world’s news from the GDELT Project, mixed it with data from Reddit, and predicted what drives community engagement with news on the world's largest online discussion site? Does the content of the article truly influence the choice of the sub-Reddit community in which it will be discussed? Or is up purely up to the submitter of the post? If you are interested in knowing what engages your audience and how it can drive up your page views, come learn about Tensorflow models. We will also show how we used Cloud Dataflow and BigQuery for feature engineering for our models. DA205 Event schedule → http://g.co/next18 Watch more Data Analytics sessions here → http://bit.ly/2KXMtcJ Next ‘18 All Sessions playlist → http://bit.ly/Allsessions Subscribe to the Google Cloud channel! → http://bit.ly/NextSub