It’s Not Your Machine; It’s Your Code.

Can we use information in tweets to decide how and when to trade stocks? Yes. But can we do this efficiently at scale, and on a tight budget? Well, this talk will discuss what such a task entails. We will look at some of the performance issues encountered in a simulated high frequency trading scenario, and how we can solve them with a hardware-conscious approach.    

By peeling back layers of software abstractions, we will learn skills and tools to decide how to make the most of our hardware, and how to circumvent limitations imposed by commonly used software.


Adekunle Adepoju

Senior Software Engineer @Netflix

Adekunle works on the Content Platform Engineering team at Netflix, which is tasked with optimizing and accelerating the process of content creation. This involves using engineering methodologies to turn the complex human processes of content creation, into a more deterministic process in order to deliver appropriately to Netflix's stakeholders (viewers and creators). Currently Adekunle is building systems which find and analyze the risks caused by disruptions in the content creation process.  

Before Netflix, Adekunle worked in various roles where he was involved in software for data center interconnectivity, robotics for semiconductor testing, hardware for oil/gas drilling, and iOS development.  

He holds a degree in Electrical Engineering, and has published research papers in robotics controls systems, and intelligent power systems. His interests involve building cars, teaching, and making complex systems work more efficiently, no matter the domain.

Find Adekunle Adepoju at:

Wednesday Nov 18 / 09:50AM PST (40 minutes )

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3 weeks of live software engineering content designed around your schedule.

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