Md Nadeem Akhtar

Initially, I joined Adobe Sign android team and worked on developing features for sign app in my first year. Then, I moved on to take up more challenging task of delivering two fully-functional independent android libraries which provide Fill&Sign and Sign capabilities respectively which were then integrated with acrobat android app for big release in October, 2018 where we were bringing all functionalities of document cloud in a single app. As of now, my thrive for challenging work has put me in Liquid Mode project, the most critical and impactful project of document cloud with an attempt to transform the way people consume PDFs on mobile devices. Here, I first led and was the core architect of the “Instance Realizer” component which is responsible for refining and improving model predicted document structure results using PDF document information. This component has proven to be quite effective and has shown significant boost in improving the model outputs. As a result of my contribution in this component, I have also been rewarded with the highest award in document cloud in April, 2019. Once we solved this problem to a great extend for general PDFs, I am now pushing myself to solve it for Scan documents to further expand the domain of supported documents in Liquid Mode My area of interests are - Data structures, Algorithms and Machine Learning. Languages used - Java, C++ and Python.