Ashwin Nallan has over three years of professional experience in the technology industry. Ashwin began their career in 2018 as a Frontend Web Developer at Egnify Technologies Pvt Ltd, where they built a responsive, cross mobile platform web application with ReactJS and integrated it with the backend using GraphQL. In 2019, they worked as a Summer Intern at ValueLabs, where they built an intelligent system to predict and generate a list of high quality sales leads using past information and current campaign information. Ashwin also worked as a Research Intern at American Express. In 2021, they worked as a Data Analyst Intern at Slalom and as a Graduate Teaching Assistant at the Georgia Institute of Technology. Currently, they are a Machine Learning Engineer at Abacus.AI.
Ashwin Nallan obtained a Bachelor of Technology (BTech) in Computer Science from the Birla Institute of Technology and Science, Pilani between 2016 and 2020. Ashwin then went on to pursue a Master of Science (MS) in Analytics at the Georgia Institute of Technology from 2020 to 2021. Additionally, Ashwin has obtained various certifications from Coursera, including Convolutional Neural Networks in Tensorflow, Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, Convolutional Neural Networks, Deep Learning Specialization, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Neural Networks and Deep Learning, Sequence Models, Structuring Machine Learning Projects, and Machine Learning.
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