Yuan Tian
Applied Scientist, GenAI | Building innovative AI/ML applications to solve real-world problems
- Role
- Applied Scientist, Generative Ai at Amazon Web Services (AWS)
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Yuan Tian
Applied scientist specializing in generative AI and machine learning, with proven track record developing LLM-based applications, multi-agent architectures, and specialized ML models across enterprise sectors.
Experience
Applied Scientist, Generative Ai
Aug 2024 — Present · Seattle, WA, US
Led development of workflow assistant for Fortune 500 energy company\'s seismic analysis platform, accelerating workflows by 95% through natural language transformation of 80+ manual tool configurations using Amazon Bedrock. Delivered one week ahead of critical conference deadline, earning formal customer recognition for going \"above and beyond.\"• Led development of voice simulation platform using Amazon Nova Sonic with agentic tool-calling for major restaurant chain, generating realistic speech-to-speech interactions for conversational AI testing achieving 80%+ conversation quality. Enabled Voice AI validation for nationwide deployment across thousands of restaurant locations. Selected for Customer Success Story at re:Invent 2025.• Built multi-agent system for pharmaceutical research report authoring, coordinating specialized agents for data mapping, content generation, and quality assurance with autonomous revision workflow, achieving 100% response groundedness and 89% factual correctness.• Developed AI support assistant for financial services infrastructure company using Amazon Bedrock with modular query routing, achieving 96% answer recall and 89% precision with sub-5-second response times and comprehensive guardrails for content filtering and PII protection.• Developed novel fine-tuning approach for protein language models using cross-protein attention mechanisms for binding affinity prediction, first author paper accepted for oral presentation at AWS Machine Learning Conference (AMLC) 2025.
Education
Georgia Institute of Technology
Master's degree, Computer Science
University of Alabama at Birmingham
Doctor of Philosophy (Ph.D.), Microbiology and Immunology
2011 — 2016
Tianjin University
Bachelor’s Degree, Bioengineering and Biomedical Engineering
2007 — 2011
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