About

Venkataramana Ganesh is a highly skilled and motivated computer scientist currently working as a Graduate Research Assistant at Georgia Institute of Technology. He specializes in self-supervised graph representation learning and is supervised by Dr. Eva L. Dyer. With a strong passion for research, Venkataramana is committed to exploring new and innovative ways to accelerate data science through general-purpose GPU computing. Before joining Georgia Tech, Venkataramana worked as an AI Developer Technology Engineer and AI Developer Technology Intern at NVIDIA. During his time at NVIDIA, he contributed to the development of NVIDIA's open-source GPU data science platform, RAPIDS. Venkataramana holds a Bachelor of Technology in Computer Science from the National Institute of Technology Tiruchirappalli and a Certificate in Quantum Computing from The Coding School. He is currently pursuing a Masters in Computer Science from Georgia Tech, which he is expected to complete in 2024. As a research scientist, Venkataramana has a strong background in AI and data science. He has a keen interest in exploring new technologies and tools to accelerate data science and machine learning. His technical skills include expertise in Python, C++, and Java, as well as experience in deep learning frameworks such as TensorFlow and PyTorch. With 0.28 years of relevant experience, Venkataramana is a highly motivated, detail-oriented, and results-driven individual. He is committed to achieving excellence in his work and is always looking for new challenges to expand his knowledge and skills. Venkataramana is a valuable asset to any team, and his passion for research and innovation makes him an ideal candidate for any role in the field of AI and data science.