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Siddharth Suresh
Research Specialist at University of Wisconsin-Madison - Incoming PhD student @UW Madison
Siddharth Suresh, a talented individual, is actively involved in the Visual Cognition Lab at the University of Wisconsin Madison, focusing on computational models like DNNs to enhance our understanding of human cognition and neural mechanisms.
Having previously contributed to VMware's R&D team on VMware Tanzu, Siddharth displays a keen interest in Deep Learning applications in Natural Language Processing and Computer Vision.
His diverse background includes a Research Internship at the Serre Lab, where he explored the intersection of Deep Learning, Computer Vision, and Neuroscience, under the guidance of Dr. Thomas Serre at Brown University.
Beyond his professional pursuits, Siddharth is deeply passionate about music and has notably composed the anthem for the Hyderabad Hunters in the Premier Badminton League, showcasing his talents as a singer-songwriter who enjoys performing at live gigs.
His core language skills encompass Python and GoLang, while his expertise extends to platforms like Docker and Kubernetes and libraries such as pytorch, tensorflow, psychopy, keras, opencv, nltk, Gensim, and fastai.
Siddharth's educational journey includes achieving high accolades such as 98% in Higher Secondary +2 from Sri Chaitanya Hyderabad, a visiting student stint in Cognitive Science and Cognitive Neuroscience at the University of Wisconsin-Madison, a Bachelor's Degree in Computer Science with an impressive 8.55/10 from PES University, and excelling in High School at Delhi Public School, Hyderabad.
With a rich organizational background, Siddharth has served in various roles including Lead TA at Neuromatch Academy, Research Specialist at University of Wisconsin-Madison, Research and Development Intern at VMware Tanzu, Undergraduate Research Assistant at PES University, and more.
His key domains of interest encompass Cognitive Science, Machine Learning, Neuroscience, Natural Language Processing, Computer Vision, and Cloud Computing, reflecting his multidisciplinary approach towards cutting-edge technologies and human cognition.
