About

Aditi Mittal is a skilled Software Engineer with a strong background in Java and Python. She is currently working at Expedia Group as a Software Developer 2, where she is leading the effort to build and improve scalable micro-services serving potential fraud and risk detection with modern technologies. Aditi has been instrumental in automating the addition of attributes used by various ML models to detect fraudulent transactions, reducing the developer's efforts from 72 hours to 2 hours, which resulted in an efficiency gain of 97%. She has also ensured efficient usage of the in-house infrastructure for microservices to reduce the costs by $50K/month and automated OS security patches update of compute instances of data stores that reduced the upgrade time by 75% while ensuring that there is no performance degradation. Aditi has a Bachelor’s Degree focused in Information Technology from Indira Gandhi Delhi Technical University for Women and is currently pursuing her MS in CS at UMass Amherst. She has also worked as a Research Fellow at Indraprastha Institute of Information Technology, Delhi, where she worked on detecting the number of honeybees for determining the health of the colony by using segmentation techniques such as Mask-RCNN, U-Net, and ResNet on the snapshots captured of different hives, obtaining the highest accuracy of 94% for Res-Net. She has also been a Core Member at ACM Association for Computing Machinery. Aditi is a Machine Learning enthusiast and a Data Scientist with relevant experience of 4.19 years. She has expertise in Microservices, ResNet, infra, Kafka, AWS, and Spark. Aditi has a proven track record of following best engineering practices to manage projects, creating feature documentation, and adding tests to avoid any future regressions. She is a strong operations professional who is passionate about using her skills to build innovative solutions that solve complex business problems.