Summary
Amir Tavanaei is a Principal Applied AI Scientist based in Seattle with a PhD in Computer Science and nine years of hands-on experience translating advanced ML research into production at enterprises like Microsoft, Amazon, and P&G. He has deep expertise across generative and multimodal AI—LLMs/SLMs, NLP, CV, and fusion models—paired with a strong research background in bio-inspired spiking neural networks and signal/audio processing. At P&G he led cross-business computer vision, video, generative modeling and XAI efforts, and at Amazon scaled multimodal and generative systems before taking on LLM customization and fusion modeling at Microsoft. He blends rigorous academic training with product-focused delivery, often tackling problems with small-data generative methods and explainability for consumer insights—skills that bridge research novelty and real-world impact.
8 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Arak University
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Louisiana at Lafayette
Master's degree, Computer science/Engineering, AI, Master's degree, Computer science/Engineering, AI at Sharif University of Technology
English, Persian