DevFest 2022 - Pacific Region - Free Online Event

GDG Capital Region

DevFest 2022 will help developers learn and connect as a community. All the GDGs in Pacific region are combining efforts to host a Pacific Region DevFest on Nov 3, 2022. This will be a hybrid, multi-track events where we'll hear about topics from web, cloud, etc. More details to come soon.

Nov 3, 2022, 8:00 PM – Nov 4, 2022, 12:00 AM (UTC)

24 RSVP'd

Key Themes

Career DevelopmentCloudDevFestInclusionMachine LearningWeb

About this event

RSVP: https://gdg.community.dev/events/details/google-gdg-san-francisco-presents-pacific-region-devfest-2022/ 


Nov. 3, 2022 4:00 PM - 8:00 PM (EDT)

DevFest 2022 - Agenda:

04:00 PM — 04:10 PM Welcome

04:10 PM — 04:25 PM Keynote - How to build a career in cloud by Priyanka Vergadia Lead Developer Advocate Google Cloud

This talk will focus on the evolution of cloud, where it's headed in the next few years and steps to build a sustainable career in cloud.

04:25 PM — 04:30 PM Break

04:30 PM — 04:45 PM Women Techmakers Panel: Gender Inclusion in Tech

Panelists Janine Lee and Sherry Yang will be discussing their experiences as women and leaders in the tech industry, how to be a better ally for women and minorities in tech, and how to create opportunity pipelines for women, including gender-inclusive interviewing and hiring practices. Moderated by Chryssa Jones.

Sherry Yang - Engineering Team Lead | WTM Ambassador - Adaptavist

Chryssa Jones - Director of Curriculum - Nucamp

Janine Lee - Global Learning and Development Manager - Google

04:45 PM — 04:50 PM Break

04:50 PM — 05:10 PM State of Angular or Mobile with the Modern Web - Mark Thompson Developer Relations Engineer, Google, Angular Core Team - Google

04:50 PM — 05:10 PM Using Cloud Storage to reduce Google Workspace license costs by Mark Johnson - Solutions Architect and Google Cloud Trainer - Learn.Grow.Deploy, LLC

I will demo how you can backup data from Workspace into Google Cloud Storage

05:10 PM — 05:15 PM Break

05:15 PM — 05:35 PM A survey of the state of the art in language models for code by Daniel Goncharov - Google Developer Expert in ML

Large language models trained on code have shown very promising results! This talk will cover what work is being done by the research community in this area. An overview of the state-of-the-art in this area, as well as recent work done by DeepMind, Google Research, Meta, OpenAI, and Microsoft Research will be presented.

05:15 PM — 05:35 PM Lit CSS is Super-powered - Justin Fagnani - Software Engineer - Google

Lit's CSS system combines several web platform features to provide one of the fastest, lightweight and most powerful styling systems out there. Learn how Lit's CSS system provides scoping, modules and shared styles, variables, automatic bundler support, and lets you build your own abstractions with functions and JavaScript. And it's all available with no build system, using standard CSS syntax, and it's built with just dozens of lines of JavaScript.

05:35 PM — 05:40 PM Break

05:40 PM — 06:00 PM An intro to GRPC with Go - Easwar Swaminathan - Software Engineer - Google

A gentle introduction to gRPC, beginning with underlying concepts and ending with a couple of demos.

05:40 PM — 06:00 PM Similarity-based machine learning - Hannes Hapke - Machine Learning Engineer - Digits

In this talk, Hannes Hapke, lead machine learning engineer from Digits introduces similarity based machine learning. He’ll explain how Digits is using similarity learning to build the next generation of finance tools. Hannes shares the team’s learning about the implementation, training, deployment, production aspects and how the team integrated the product end-to-end with Google Cloud.

06:00 PM — 06:05 PM Break

06:05 PM — 06:25 PM Generative Art & Design with TensorFlow - Margaret Maynard-Reid - ML Engineer

This talk provides an introduction of how AI can be used to assist and inspire the artists and designers in their creative space. You will also learn how to use advanced features of TensorFlow 2.x, Keras and TensorFlow Lite to train and deploy models to applications. This talk is for anyone: data scientists, ML engineers, artists or designers who are interested in applying deep learning models for generative art & design. Topics covered: - Generative art and design - TensorFlow 2.x and Keras - TensorFlow Lite and on-device ML

06:05 PM — 06:25 PM Chrome Extensions - Chrome Developer Relations (Extensions) - Google

Learn how to build extensions for Google Chrome

06:25 PM — 06:30 PM Break

06:30 PM — 06:50 PM Real-time Machine Learning - Chloe He - Founder Engineer - Claypot AI

What is real-time machine learning, the state of real-time machine learning, its infrastructural challenges, and possible solutions.

06:30 PM — 06:50 PM Simplifying Angular with Standalone Components - Jessica Janiuk - Sr. Software Engineer - Google

Angular now has Standalone Components, and this back to the future themed talk will teach you all about how they work.

06:50 PM — 07:55 PM Wrap up & Giveaways

Hosts

  • Leopoldo Hernandez

    Wayfair

    Software Engineer

  • Jim Hutson

    IDG Engineering Solutions

    Principal Software Engineer

  • Emily Anderson

    Blue Shield of California

    Application Developer / Programmer

  • Kevin Moore

    Android Developer

  • Deepa Subramanian

    Google Developer Expert for Web, Project Fugu and PWA

  • Csaba Toth

    SportsBoard

    Director of Product Engineering

  • Chryssa Jones

    Nucamp

    Director of Curriculum

  • Tracy Lee

    RxJS Core Team

    Angular Google Developer Expert

  • Matt Kaufman

    MK Partners, Inc.

    Chief Innovation Officer

  • Marie Smith

    Data 360

    CIO, Co-Founder

  • Marsha Swallow

    TargetClose

    Technical Project Manager

  • Vikram Tiwari

    Omni Labs

    Co-founder, Tech

  • Riya Dashoriya

    Quizlet

    Engineering Manager

  • Svetlin Stanchev

    Objectist Software Inc

  • Ed Choudhry

    Stealth

    Co-founder

Organizers

  • Linda Kovacs

    Accenture

    GDG Lead & WTM Ambassador

  • Fausto Hernandez

    Team Member

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