Kunal Ghosh is a Data Scientist at Smartly.io since April 2023 and has been a Doctoral Candidate at Aalto University School of Science and Technology since May 2016, focusing on variational inference and deep neural networks with applications in material science. Kunal has experience as a Research Assistant, where deep learning models were developed to predict molecular electronic properties, potentially accelerating the discovery of new materials. A notable internship during Google Summer of Code 2022 involved implementing fast Gaussian process inference in PyMC. Prior roles include a Software Development Engineer in Test (SDET) and Quality Assurance Engineer (QAE) at Amazon, contributing to test infrastructure for recommendation engines and delivering responsive web designs for multiple platforms, respectively. Kunal's educational background includes a PhD in Computer Science from Aalto University and a Master of Science in Machine Learning and Data Mining.
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