About

PRAJJVAL GUPTA is an accomplished Software Development Engineer with over 2.86 years of experience in software development life cycle management, including analysis, design, development, testing, deployment, and maintenance of large enterprise-wide, mission-critical software applications. He has worked with cross-functional and multi-cultural teams spanning across GEOs, adapting to dynamic needs of software development lifecycle. He is deadline-driven and focused, works well as part of a team or independently while handling complex assignments. PRAJJVAL has demonstrated excellent technical competency while using one of the most promising technologies in the modern world. He has tracked the nature of various requests and ensured all technical areas of concern were handled adequately. He has worked both independently and within a team, taking ownership of projects and ensuring to deliver the best possible quality on every work. He has proved instrumental in ensuring that the KRAs exceed the agreed SLAs and process fairs above client expectations. He has efficiently worked with development team members on internal projects that created efficiencies for national as well as international client works. He has successfully completed several projects for Amazon while adhering to software best practices. Currently, PRAJJVAL is working as a Software Engineer at Amazon, where he has created automated flow using AWS services (Step function, Sagemaker, Lambda, S3, Cloudwatch). He has automated the ML model execution run saving manual effort of SDEs, TPMs and data scientists. He has improved and maintained the customer attributes coverage resulting in an increase in the number of successful deliveries in the first attempt by 15% in the USA, 26% in France, and 28% in the UK. He has added a feature to provide geocodes based on city-state name depending on which delivery date can be calculated, and added logic in the service code base to check for the mappings and add them in our service API response. He has contributed to improving customer experience in all 3 countries for millions of Amazon customers and also kept the Amazon retail website customer experience consistent in all countries. He has updated service code base to include these countries, created country-specific jobs, and performed end-to-end flow testing. He has successfully launched AMZL in all 4 countries. He has resolved the issue by developing a feature to identify such instances and process the orders correctly. The developed feature positively impacted 110K orders worldwide in a month. PRAJJVAL has good knowledge of AWS Step function, Sagemaker, Lambda, S