Siddhant Shingi is a skilled machine learning engineer with a solid background in data science and research. Experience includes an Applied Data Science Internship at Delhivery, where AI solutions for logistic tasks were implemented, and a role as a Machine Learning Engineer at Valar Labs and Meta. A Graduate Student Researcher position at IBM involved exploring novel methods for information fusion in HGNNs. Other roles span a Research Fellowship at Wadhwani AI, focusing on computer vision solutions for tuberculosis testing, and a Software Development Engineer position at Flipkart, contributing to cloud platform improvements. Education includes a Master’s degree in Computer Science from the University of Massachusetts Amherst, maintaining a 4.0 GPA, and a Bachelor’s degree in Computer Science from the Indian Institute of Technology, Delhi.
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