About

Apoorva Agrawal is a highly motivated and accomplished computer science graduate from BITS Pilani, class of 2020, with a passion for utilizing technology to solve real-world problems. With 2.78 years of relevant experience, Apoorva has a strong background in building products that deliver high performance, quality, and are tuned for big data. She is currently working as a Research Fellow at Microsoft, where she is the primary contributor to Project Nalanda, which has resulted in two internal products and a research paper. Apoorva has designed and implemented the architecture of Nalanda, which includes creating and maintaining a graph database having 150M edges and 25M nodes. The pipeline to maintain this graph real-time costs less than $500 a month. Apoorva has leveraged distributed systems, graph databases, Azure, .NET, C#, and Javascript to achieve these results. Apoorva has also worked as an SDE Intern at Amazon, where she contributed to building products and services that enable voice annotation with efficiency, high quality, and lowest cost. She has built workflow apps as an easy-to-use platform to be used for data labeling and created new metrics for accurately measuring annotation labeling quality. Apoorva has also designed a novel ML model that significantly improves the quality of transcription labeling for the same business costs. She published a research paper for this work in Amazon Machine Learning Conference 2020. As a Research Intern at Samsung, Apoorva implemented an image processing model to apply the effects of one image's segment to a target segment in any image. She used computer vision techniques like semantic segmentation and feature extraction technique of Mange-Kantorovich theorem. The resulting model performed 150 times faster than the previous model in place and was found to be satisfactory to be rolled out to Samsung mobile devices' camera app. Apoorva's technical skills include research scientist, ML, Java, AWS, Azure, software engineer, Spring, MySQL, Big Data, NLU, Javascript, data scientist, Elastic Search, mobile, computer vision, Golang, Spark, Keras, AI, image processing, NLP, Kubernetes, Docker, Tensorflow, Pandas, Spring Boot, search, and ETL. She is constantly exploring and learning artificial intelligence, data science, and competitive coding. Apoorva is a quick learner and has demonstrated key leadership skills like Learn & Be Curious, Customer Obsession, ownership, and Dive Deep.