William Nguyen
Senior Applied Scientist @Aitomatic
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WORK HISTORY
Senior Applied Scientist @Aitomatic
Palo Alto, CA, US
Led the development of SemiKong and Llamarine, pioneering open-source LLMs for the semiconductor and maritime sectors. These models were adopted by global industry leaders, including Tokyo Electron, TSMC, and Furuno- Improved semiconductor troubleshooting efficiency by 30% with advanced root cause analysis tools- Achieved 100% accuracy in maritime navigation recommendations by leveraging expert knowledge in Llamarine- Architected ProSEA, an agentic framework for complex problem-solving, outperforming state-of-the-art methods by 25% in accuracy and consistency in benchmarks. Proven effectiveness in real-world execution, earning customer trust over major competitors.
EDUCATION
University of Rochester
Master's degree, Computer Science
Vietnam National University, Hanoi
Bachelor's degree, Computer Science
ABOUT WILLIAM NGUYEN
I’m a Senior Applied Scientist with 5+ years of experience driving AI innovation in both academic research and product development with real-world impact. My work spans vision-language understanding, domain-specialized LLMs, and AI agents designed for complex industrial settings. Focus Areas- Domain-Specific LLMs (Semiconductors, Maritime)- Vision-Language Understanding- Agentic AI and Reasoning Systems- Computer Vision Key Highlights- LLM Development: Led the development of SemiKong (semiconductors) and Llamarine (maritime), open-source domain-specific LLMs adopted by Tokyo Electron, Furuno, and other industry leaders. Both models outperformed GPT-4o and Claude 3.5 Sonnet in real-world evaluations (as they were SOTA when we released these models)- Scalable Training & Knowledge Integration: Directed synthetic data generation and domain knowledge acquisition to support large-scale LLM and agent training across specialized verticals- Research & IP: Published 9 papers (CVPR, NAACL, ICCV, ACM Multimedia, and filed 3 U.S. patents spanning AI agents, vision-language systems, and industrial LLMs- AI Infrastructure: Designed structured knowledge base synthesis algorithms and built automated model training pipelines, enabling 5× faster development cycles- GenAI for Visual Reasoning: Pioneered methods for open-world object state understanding using generative AI, improving robustness in unconstrained visual environments- OCR with Linguistic Priors: Created one of the earliest OCR models that integrates linguistic priors, significantly boosting recognition accuracy in noisy and real-world settings.I’m always happy to collaborate with other people. Feel free to drop me an email at: n••••••••@gmail.com
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