Silicon Valley

Past Presentations

Enabling Innovation at Uber Speed

Uber has been growing at a breakneck speed both in terms of business as well as in terms of people. Innovation and the speed of innovation is paramount to our success. At the same time, Uber’s mission is defined as “Transportation That Is As Reliable as Running Water”. How does Uber create...

Aurore Kervella Responsible for Data Quality @Uber Communications
Sudhir Tonse Engineering Manager @Uber - Marketplace Data & Forecasting
Real-Time Data Analysis and ML for FraudPrevention

PayPal processes about a billion dollars of payment volume daily ($354bn in FY2016); complex decisions are made for each transaction or user action, to manage risk and compliance, while also ensuring good user experience. PayPal users can make payments immediately in 200 countries with the...

Mikhail Kourjanski PayPal Lead Data Architect, Risk and Compliance Management Platform
Machine Learning Through Streaming at Lyft

Uses of Machine Learning are pervasive in today’s world. From recommendations systems to ads serving. In the world of ride sharing we use Machine Learning to make a lot of decisions in realtime, for example: supply/demand curves are used to get an accurate ETA(estimated time of arrival) and...

Sherin Thomas Senior Software Engineer @Lyft
Deep Learning @Google Scale: Smart Reply in Inbox

Anjuli will describe the algorithmic, scaling and deployment considerations involved in an extremely prominent application of cutting-edge deep learning in a user-facing product: the Smart Reply feature of Google Inbox.

Anjuli Kannan Software Engineer @GoogleBrain
Models in Minutes not Months: AI as Microservices

Companies are redefining their businesses by building models and learning from data. Whether it is using data science to predict their best sales and marketing targets, automating digital customer interactions using bots, or reducing waste in logistics and manufacturing - Artificial Intelligence...

Sarah Aerni Director, Data Science @Salesforce Einstein
Applying AI/ML for Trusted Commerce Connections @Facebook Marketplace

Facebook Marketplace is aimed at making buying and selling seamless for people locally within their communities and open up economic opportunity through social commerce. Given that Trust is a key driver of consumer decisions in Commerce, it is important for Facebook to build trust amongst buyers...

Liza Fireman Engineering Manager @Facebook Marketplace Trust & Safety

Interviews

Sachin Kulkarni Engineering Director @Facebook focused on Live, Videos, and Messenger

Scaling Facebook Live Videos to a Billion Users

QCon: What is your role at Facebook today, and what are the types of problems you’re focused on?

I’m currently working on the backend for Facebook Live, Facebook Video, and Facebook Messenger. Most recently. I’ve been spending a lot of time on scaling the Facebook Live stack. Facebook Live let’s anybody broadcast across the world using just the camera in their pocket. What this means (in real terms) is the backend has to be...

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Danielle Leong Engineer on GitHub's Community and Safety Team

Consensual Software: Prioritizing Trust & Safety

What makes trust and safety important?

Trust and safety is about keeping users safe. Online harassment is unfortunately a reality. When you are part of a community and online space you should be able to connect with one another and work together safe and be productive. My team at Github builds community management tools and features to discourage destructive behavior.

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Elaine Ou Security Engineer @GlobalFinancialAccess & Co-Creator of Sand Hill Exchange

Blockchain Introduction: Peering Through the Hype

QCon: What are smart contracts?

We use smart contracts as computer executable code that performs the tasks and provisions that would be described in a real world legal contract. The intention is that it runs in an auditable place to ensure the integrity of this software contract.

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Lisa Guo Software Engineer @Instagram

Scaling Instagram Infrastructure

QCon: What are the main problems you are focused on today?

Lisa: I am a software engineer on the Instagram Infrastructure Team. Our team’s main purpose is to keep the scalability of our systems up. While doing that, we identify both short term and long term fixes around scale. Additionally, we work closely with many other teams on the product side to help them to identify bottlenecks and...

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Danny Yuan Real-time Streaming Lead @Uber

Scaling Uber's Elasticsearch Clusters

How you you describe the persona and level of the target audience?

The target audience are software engineers or SREs who are interested in scaling out Elasticsearch for OLAP workload. The audience should have basic understanding of Elasticsearch and OLAP.

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Marisa Fagan Product Security Lead @Synopsys

Security Champions: Only YOU Can Prevent File Forgery

What is the focus of the work that you do today?

Right now I'm working at Synopsis on a team called Product Security, and the focus of our work is to increase the amount of security activities that the engineering team is doing for our products. Our goal is to make the most secure product possible and to increase the security mindset of our employees in the engineering department for...

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