About

Pranav D. Raje is a Senior Software Engineer at Honeywell Technology Solutions Lab Private Limited. He is currently part of the Integration Framework team, where he focuses on creating a secure and seamless platform for data integration between Honeywell and third-party systems. With an interest in machine learning and artificial intelligence, Pranav has practical experience in deep learning models for the medical domain. Prior to his current role, Pranav worked with the Honeywell Connectivity Enablers for Business Aviation. He was involved in the development of the Aircraft Data Gateway, which allows for wireless data transfer between an aircraft and ground operations, and the installation of the Honeywell 1 Aero Edge Node, which enables predictive and prescriptive maintenance. Pranav holds a Dual Degree in Electrical Engineering from the Indian Institute of Technology, Bombay, where he conducted research on the classification, detection, and filtering of noise from ECG signals. He also explored different machine learning algorithms for feature extraction and implemented an artificial neural network for the detection of cardiovascular diseases. During his time at IIT Bombay, Pranav also gained experience in image processing and segmentation, as well as unsupervised clustering and simple classification in machine learning. He has worked with different multi-class classifiers such as random forest, SVM, logistic regression, and gradient boosting. Aside from his technical expertise, Pranav has a personal interest in painting, video editing, and technology. He is a serious technophile and enjoys staying up-to-date with the latest advancements in the field. With 4.29 years of relevant experience, Pranav is a capable and driven software engineer with a passion for developing advanced IT solutions.