Personalization of LLMs and Working as a Data Scientist at Amazon AGI
Curious about how AI systems can become more personalized and human-like?
In this session, Doug, a Data Scientist II at Amazon AGI, breaks down some of the most exciting advancements in large language models (LLMs) — the tech behind modern AI chatbots and assistants.
He'll introduce concepts like:
🤖 How LLMs can be customized for individual users
🧪 The role of synthetic data in training AI
🎭 What role-playing language agents (RPLAs) are and why they matter
🧑💼 How real-world companies like Amazon are putting this research into practice
Doug will also share his journey — from intern to data scientist at Amazon — along with practical tips, lessons learned, and what it’s like working on cutting-edge AI systems. Perfect for students exploring data science, AI, or anyone dreaming of a career in tech!
👨💻 About the Speaker — Doug
Doug is currently a Data Scientist II at Amazon, working on the AGI (Artificial General Intelligence) Information team. He has a background in business and mathematics and loves solving tough problems using data, creativity, and technology. He’s especially passionate about how AI can be used to build better, more human-centered tools.
Find him on Linkedin: https://www.linkedin.com/in/doug-kang/
This talk is organized by DubsTech, the largest tech community at the University of Washington, Seattle.