About

Nainsu Riya is an enthusiastic and experienced Software Engineer with a demonstrated history of working in the financial services industry. Currently, she is working as a Software Development Engineer II at Amazon. Nainsu has defined system architecture and design to provide marketplace trust scores for Amazon worldwide ASINs securing $85 BN business revenue. She has developed and executed dialup strategies that decouple individual businesses like Amazon Search and Amazon Choice, to allow independent experimentation and collaboration across 400+ members development community. Nainsu has built scalable and extensible software solutions over various AWS technologies including Lambda, SNS, SQS, ECS, ECR, EMR, EC2, Cloudwatch, CodeCommit, DynamoDB, S3 & IAM. Apart from this, she has honed various in-house Amazon technologies like Model Factory, AI Workbench, Katal Framework, Weblab, MCM, etc. She has brought alignment on the technical vision by setting up meetings with stakeholders including Directors, Senior Managers, Principal Engineers and Senior Software Development Engineers. Nainsu has resolved discordant views by finding out hotly debated topics from discussions with stakeholders and presenting recommendations based on data points; making trade-offs based on long term benefits/customer value and business proposition. She has also performed technical assessment for software development engineers for their career growth and better organizational health. Nainsu has conducted sessions in Amazon world-wide developer conferences on productionizing ML models natively on AWS to trend the software development on serverless architecture. Prior to Amazon, Nainsu worked as a Software Development Engineer at Amazon and as a Software Engineer at Visa. At Visa, she developed a machine learning-based framework for identifying spend habits among Thai customers, profile customer segments by age and recommend strategies to enhance engagement. She also created Visa Store Location Identifier Matching engine, built Canadian Transactions Data Mart in Hadoop, and created and implemented API using Spring Boot in Java to connect databases (push and pull data) for existing internal BI Tool. Nainsu completed her Bachelor of Technology in Chemical Engineering from Indian Institute of Technology, Roorkee in 2018 and senior education from Patna Central School in 2013. Her technical skills include Software Engineering, AWS, ML, ECS, AI, Search, Python, Hadoop, and Spring Boot. With 5.03 years of relevant experience, Nainsu is a skilled Software Engineer with a passion for creating scalable and extensible software solutions.