About

Agerneh Dagnew, PhD is a Senior Machine Learning Engineer at NVIDIA Pro Services with over 11 years of relevant experience. He is an expert in formulating AI solutions to solve challenging business problems and discover new opportunities using accelerated DL/ML, data, and engineering. His expertise includes AI and digitization enablement through use case discoveries, enabling companies with accelerated and advanced AI at scale, AI for climate change risk assessment, recommendation systems at scale, satellite imagery analysis and modeling, computational fluid dynamics, and physics-based simulations. Agerneh has a strong background in deep learning, computer vision, natural language processing (NLP), cloud computing (NGC, AWS, GCP), and experience in designing and deploying applications in Tensorflow, PyTorch, Python, and containerized applications. He has worked on various projects, including developing AI applications for business, model development, evaluation and maintenance, designing and developing deployment strategies for cloud computing solutions, and performing scalable machine learning for business applications. Agerneh's current role at NVIDIA involves leading the development of a climate change solution using deep learning, harnessing AI and cloud computing to model climate change events, and quantifying risk of natural disasters using AI. Prior to joining NVIDIA, he worked as a Data Scientist at GoogleX on behalf of EPAM Systems, where he led the development of a climate change solution using deep learning and harnessing AI and cloud computing to model climate change events. He also worked as a self-employed Data Scientist/Machine Learning Engineer, where he developed AI applications for business, deployed and managed big data analytics using a portfolio of cloud computing services, and transformed data for machine learning. Agerneh holds a Ph.D. in Computational Wind and Structural Engineering from Florida International University, a Master's Degree in Structural Engineering from IIT, and a Bachelor of Science in Civil Engineering from Jimma University. He is skilled in AI, ML, senior software engineering, deep learning, NLP, AWS, recommendation systems, computer vision, data science, research science, Python, Tensorflow, PyTorch, GCP, and big data.