About

Pradyumna Sripad is a Research Associate 2 at Philips with over 4.86 years of relevant experience in the field of computer science. He possesses a wide range of skills in Python, Shell Scripting, Web Technologies such as HTML, CSS, Node Js, Php, and SQL, and intermediate knowledge of Matlab and Deep Learning techniques. Pradyumna has worked on numerous projects in popular domains such as Big Data, Data Analysis, and Web Technologies. Some of his notable projects include IPL score/result predictor, a web-based movie booking portal, a Flipkart-like shopping portal, and industrial machine health diagnostics using deep learning techniques like RNN and GRU. Currently, at Philips, Pradyumna is working on building an NLP pipeline for Clinical Information Extraction using AWS services as the prime component. He has also built a framework for safeguarding AI models from inference attacks during deployment and actively involved in designing and implementing an MLOps pipeline using AWS for healthcare use cases, which has widespread acceptance across Philips. Pradyumna has also helped business units to deploy AI models on the Cloud environment, including optimizing the data pipelines and AI models in terms of size, time, etc. Previously, Pradyumna worked as a Software Engineer at Allgovision, where he was responsible for the Automatic License Plate Recognition (ANPR) backend Deep Learning Engine of the Allgovision (AGV) Software. He was also involved in detailed analysis of the intermediate results and exploring the various new versions of the Deep Learning frameworks to optimize the deep networks appropriately. Pradyumna also worked as a Data Science Intern at Flutura Decision Sciences & Analytics, where he worked on Time Series Analysis using Gated Recurrent Units. Pradyumna holds a Bachelor of Technology (BTech) degree in Computer Science from PES University. He has a diverse range of technical skills, including Research Scientist, Deep Learning, Web, AI, AWS, NodeJS, SQL, RNN, NLP, Big Data, PHP, Image Processing, Software Engineer, Tensorflow, Backend, and Python.