Daniel Biś

About Daniel Biś

I am currently working as an Applied Scientist at Amazon AI. My interests lie in the intersection of Deep Learning, Natural Language Processing, Graph Representation Learning, Personalized Systems, and building high-performance distributed systems for the former. I earned a Ph.D. from Florida State University, where I studied Machine Learning (ML) and Artificial Intelligence (AI) with a focus on the learning dynamics of deep neural networks for NLP and LLMs.

Experience

1. Applied Scientist

   Amazon

   Aug 2022 — Present · Seattle, WA, US

   Developing intelligent conversational agents using state-of-the-art Large Language Models (LLMs). Employed techniques such as Supervised Fine-Tuning (SFT), In-Context Learning (ICL), and Reinforcement Learning from Human Feedback (RLHF) to enhance performance and scalability.Developed LLMs that reduce defects in spoken conversational systems via query rewriting, personalized LLMs that customize agents responses to the user, and graph-based solutions for user modeling and customer affinity inference that enable customization of several CXs.

Education

• Florida State University

  Doctor of Philosophy - PhD, Computer Science

• Florida State University

  Bachelor of Arts (B.A.), Computer Science

  2016 — 2019

Skills

• Strategic Planning
• Social Media
• Sports Marketing
• Sports Management
• Start-Ups
• Project Planning
• Python
• Css
• Html5
• Microsoft Office
• Microsoft Excel
• Microsoft Word
• Angularjs
• Javascript
• Sass
• Team Leadership
• Social Media Marketing
• Teamwork
• C++
• Ionic Framework
• Firebase