About

Pooja Ravi is a highly enthusiastic software developer with a passion for building scalable solutions to distributed systems architecture. With over 3 years of relevant experience, she is currently working as a Software Development Engineer at Amazon, where she is responsible for developing backend systems and ensuring their scalability. Pooja's expertise in AI and machine learning has enabled her to deliver innovative solutions to complex problems. During her tenure as a Machine Learning Intern at Ushur, she developed a process automation tool combined with conversational AI to handle emails received by insurance companies. She also designed and developed an extractor to filter out useful information from a patient's medical history required by an underwriter. Her work resulted in increased throughput in email processing time by 100%, an increase in ROI from 3x to 10x, and a reduction in costs by 85%. Prior to joining Amazon, Pooja worked as a Software Engineer at Bosch, where she designed and developed process automation plugins for enhancing various work items' parent-child attributes, workflows, comments, and attachments synchronization between IBM Rational Team Concert's team areas. She also developed customized dashboards consisting of various live report widgets built using Jazz Reporting Service, which helped development teams track their progress of active projects. Pooja holds a Master of Science in Computer Science from the University at Buffalo, which she completed in 2020. She also holds a Bachelor of Engineering in Computer Science from PES, which she completed in 2017. Pooja's tech stack includes expertise in Software Engineering, Backend Development, BERT, AI, ML, Deep Learning, and Data Warehousing. Overall, Pooja is a highly skilled software developer with a passion for building scalable solutions to complex problems. She is a valuable asset to any organization and is constantly seeking new challenges and opportunities to grow and develop her skills.