Summary
Yamini Nimmagadda is a Senior Principal AI Engineer based in Portland with a PhD in Electrical and Computer Engineering and over a decade of hands-on experience architecting AI frameworks and inference runtimes at Intel. She specializes in integrating and optimizing OpenVINO across ecosystems like PyTorch, ONNX Runtime, LiteRT and Llama.cpp to deliver high-performance Generative AI and agentic solutions on client and edge devices. Yamini blends deep technical rigor—graph compilers, advanced quantization, kernel libraries—with a product-minded approach to MLOps and serverless distribution of heterogeneous workloads. A mentor and team builder, she focuses on developing both architecture and engineers to turn research-grade advances into scalable design wins. Less obvious: her career trajectory spans research at Purdue to strategic framework integrations, giving her rare fluency across academic, systems, and deployment layers of AI.
6 years of coding experience
14 years of employment as a software developer
B.tech Electrical Electronics and Communications Engineering, B.tech Electrical Electronics and Communications Engineering at Indian Institute of Technology, Guwahati
PhD Electrical and Computer Engineering, PhD Electrical and Computer Engineering at Purdue University