Elvin Aghammadzada is an AI-focused engineer and researcher with 4 years of experience building multi-agent and generative AI systems for enterprise at the intersection of product and infrastructure. Currently working on Agent Workforce Platforms across NVIDIA and DataRobot, he combines hands-on model optimization (ONNX, TorchDynamo, TensorRT) with product-facing GenAI strategy from prior roles leading creative AI at Interact Brands. His background spans document and multi-modal understanding, performance engineering that yielded 2–5x inference gains, and practical data engineering for large-scale financial and government datasets. Based in Cambridge, he bridges research and deployment—contributing to standards and governance at IEEE while advising on credentialing for the AI economy—reflecting a rare mix of technical depth and community-oriented impact.
Scripts from Neural network inference on Pytorch with tools like ONNX, TensorRT, nvFuser, TorchDynamo, Triton
Contributions:1 release, 2 PRs, 17 pushes in 10 months
pytorchtransformersdeep-learninginferenceonnx
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.