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Waren Long Profile
Waren Long

@warenlg

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101

Founding engineer - Lead Data Pretraining @poolsideai | prev Head of Product @athenianco acq. by The Linux Foundation | prev ML Engineer @sourcedtech

Madrid | Paris
Joined March 2017
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@warenlg
Waren Long
22 days
RT @PengmingWang: We've not been very public about our progress on model building, but I fully believe poolside will be the next lab joinin….
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@warenlg
Waren Long
9 months
RT @poolsideai: Today, we’re thrilled to announce a transformative partnership with AWS that establishes poolside as a first-party AWS offe….
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@warenlg
Waren Long
9 months
RT @steeve: We can finally say it publicly: @poolsideai got their models running on @awscloud’s Trainium/Inferentia thanks to @zml_ai. No….
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@warenlg
Waren Long
4 years
RT @eisokant: Have you managed engineering teams, are an amazing listener, open-minded, strong empathy and a great communicator? . We're on….
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@warenlg
Waren Long
4 years
RT @eisokant: So @jasoncwarner and I started doing a thing! . We're publishing a podcast episode every two weeks talking about challengea a….
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@warenlg
Waren Long
5 years
RT @eisokant: I am excited! Athenian had a killer 2020 and is entering 2021 with the release of a new UI and delivering on our most request….
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@warenlg
Waren Long
5 years
RT @eisokant: This week and next we'll be giving priority to onboard companies with <30 engineers. If that's you head over to https://t.co/….
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athenian.com
Maximize your impact with Athenian's software engineering metrics solution. Uncover insights, boost efficiency, and drive business impact. Get started today.
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@warenlg
Waren Long
5 years
RT @manucorporat: This is NOT a generic 3D model, it's generated on-demand based on a computed tomography!. and you can try it yourself tod….
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@warenlg
Waren Long
5 years
This project is blowing my mind, can’t wait to see it live 🚀.Amazing work @manucorporat 👏.
@manucorporat
Manu (Qwik)
5 years
Hi Developers 💚! 👋. I have been working in a new project for the last 5 months!!!. T - 48hours ⌛️.
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@warenlg
Waren Long
5 years
RT @eisokant: When you start onboarding customers and your lead time becomes less <2 hours because you're shipping fixes and feedback so fa….
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@warenlg
Waren Long
6 years
Analyzing commit authorship using @ghtorrent dataset. Conclusion:.Kumar is definitely the most popular name on @github. This single surname hides by itself more than 28k different emails. 👩‍💻👨‍💻.#WhoIsWho #IdentityMatching
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@warenlg
Waren Long
6 years
RT @mlconference: Waren Long is one of our speakers at #MLConference. His shorttalk's title: "How to Identify Collaborators in large Codeba….
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@warenlg
Waren Long
6 years
RT @eisokant: Lots of announcements today! We are now General Availability on our Enterprise edition @sourcedtech. And we're opening a priv….
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@warenlg
Waren Long
6 years
On stage at #ML4SE for a final panel discussion, Hugo Mougard from @sourcedtech and 4 other members of #MLonCode companies @facebook @jetbrains @MSFTResearch @GoogleAI are giving their perspective on the challenges of deploying ML apps in the software industry 🤖🚀
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@warenlg
Waren Long
6 years
Feel honored to present today at @Google Montreal, on behalf of the @sourcedtech team, our work on developer similiraty in front of such #MLonCode pioneers #ML4SE #EngineeringObservability. The poster designed for the occasion 👨‍🎨👇
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@warenlg
Waren Long
6 years
Tonight’s @sourcedtech event to thank the @msrconf community for their contributions is getting some success 🍻🍻 #msr2019
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@warenlg
Waren Long
6 years
Time to present style-analyzer @msrconf, the human-interpretable ML solution we developed @sourcedtech to fix code style during pull requests 🤖.@vadimlearning speaking for the ML team 🎤 🚀 #msr2019 #MLonCode . Slides Paper
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@warenlg
Waren Long
6 years
Alright, the great papers presented today @msrconf were not the real motivation for me to come to the conference 🏓 🏆
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@warenlg
Waren Long
6 years
My 3 favorite statements from Robert DeLine @MSFTResearch about AI-based applications development @msrconf. 1. Data science is now a standard part of software development.2. Don’t compete with your product team.3. Helping stakeholders to understand AI models is key for adoption.
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