About

Nainy Jain is a highly skilled Software Development Engineer at Amazon Web Services (AWS) with over 5 years of relevant industry experience. She holds a Master of Science degree in Computer Science from the University of Minnesota and a Bachelor's degree in Electronics and Communications Engineering from the Indian Institute of Technology (Indian School of Mines), Dhanbad. Currently, Nainy is a part of the AWS Lambda Placement team, where she has been utilizing her expertise in software engineering and AWS to develop innovative solutions for the organization. Prior to her current role, she worked as a Graduate Teaching Assistant at the University of Minnesota, where she assisted in teaching Master-level course CSCI 5271 - Introduction to Computer Security. Nainy has also worked as a Software Engineer Intern at PayPal, where she was responsible for building a service to identify redundant content across PayPal's help documents. She generated labeled data using NLP Doc2Vec model, trained a Siamese neural network, and exposed APIs via Flask, which reduced content discovery time by 45%. Additionally, she designed and developed an analytics pipeline by indexing Help Center data into Elasticsearch and creating Kibana dashboards, which generated usage stats to reduce obsolete content in PayPal's InfoCenter by 10%. Nainy also implemented and fine-tuned a logistic regression model to identify high-value attributes in promotional email notifications to increase the success rate of call-to-action (CTA) by 53% using TensorFlow, Python, and Teradata. Nainy's technical skillset includes expertise in Software Engineering, AWS, Web Development, NLP, Python, TensorFlow, Neural Networks, Elastic Search, and Flask. She has a proven track record of delivering high-quality solutions and has been recognized for her contributions to the industry. Nainy is an ambitious and dedicated professional who is always eager to learn and grow in her career.