Speaker: Nick Caldwell
Nick Caldwell is the VP of Engineering at Reddit where he is responsible for building and operating the 4th most visited site in the US. Prior to joining Reddit, he held various positions in engineering leadership at Microsoft across a 15 year career, including work on natural language processing, enterprise search, machine learning, in-memory databases, and business intelligence. Nick's most significant role at Microsoft was as General Manager for the Power BI team where he rapidly transformed the company's business intelligence suite.
Nick holds a degree in computer science and electrical engineering from MIT, an MBA from U.C. Berkeley Haas, and holds 10 patents related to natural language processing. Nick is an active participant in /dev/color: a non-profit whose mission is to maximize the impact of Black software engineers, and founder of Color Code: a scholarship fund dedicated to future leaders of color in technology fields.
Tracks
Monday, 5 November
-
Microservices / Serverless Patterns & Practices
Evolving, observing, persisting, and building modern microservices
-
Practices of DevOps & Lean Thinking
Practical approaches using DevOps & Lean Thinking
-
JavaScript & Web Tech
Beyond JavaScript in the Browser. Exploring WebAssembly, Electron, & Modern Frameworks
-
Modern CS in the Real World
Thoughts pushing software forward, including consensus, CRDT's, formal methods, & probabilistic programming
-
Modern Operating Systems
Applied, practical, & real-world deep-dive into industry adoption of OS, containers and virtualization, including Linux on Windows, LinuxKit, and Unikernels
-
Optimizing You: Human Skills for Individuals
Better teams start with a better self. Learn practical skills for IC
Tuesday, 6 November
-
Architectures You've Always Wondered About
Next-gen architectures from the most admired companies in software, such as Netflix, Google, Facebook, Twitter, & more
-
21st Century Languages
Lessons learned from languages like Rust, Go-lang, Swift, Kotlin, and more.
-
Emerging Trends in Data Engineering
Showcasing DataEng tech and highlighting the strengths of each in real-world applications.
-
Bare Knuckle Performance
Killing latency and getting the most out of your hardware
-
Socially Conscious Software
Building socially responsible software that protects users privacy & safety
-
Delivering on the Promise of Containers
Runtime containers, libraries, and services that power microservices
Wednesday, 7 November
-
Applied AI & Machine Learning
Applied machine learning lessons for SWEs, including tech around TensorFlow, TPUs, Keras, PyTorch, & more
-
Production Readiness: Building Resilient Systems
More than just building software, building deployable production ready software
-
Developer Experience: Level up your Engineering Effectiveness
Improving the end to end developer experience - design, dev, test, deploy, operate/understand.
-
Security: Lessons Attacking & Defending
Security from the defender's AND the attacker's point of view
-
Future of Human Computer Interaction
IoT, voice, mobile: Interfaces pushing the boundary of what we consider to be the interface
-
Enterprise Languages
Workhorse languages found in modern enterprises. Expect Java, .NET, & Node in this track
