About

Pradeep Muniasamy is a Full Stack Machine Learning Engineer with a focus on solving complex problems using cutting-edge technologies. He is currently working at Glance, Inmobi, where he is responsible for solving the recommendation problem for over 150 million users. With 1.86 years of relevant experience, Pradeep has a strong background in ML, Deep Learning, Mobile, NLP, Computer Vision, AI, Python, Data Scientist, AWS, BERT, Keras, Corpus, Big Data, Research Scientist, Tensorflow, Neural Networks, Flask, GCP, and Backend. He has worked on various projects that involve deploying machine learning models and feature engineering techniques to achieve high accuracy and reduce response time. Before joining Glance, Inmobi, Pradeep worked as a Machine Learning Engineer at Chefling, where he gained experience in deploying ML models for recipe recommendation and personalized meal planning. He also worked at In-D - Power of AI as an R&D Engineer Trainee, where he was the product owner of an NLP-based insurance product and reported directly to the CTO. Pradeep deployed various machine learning models and feature engineering techniques for the classification of ICD and CPT coding of medical documents, improving the accuracy of the product from 70% to 90% and reducing the response time by 10x faster. Pradeep holds a Master of Science in Data Science from PSG College of Technology, where he honed his skills in machine learning, deep learning, and computer vision. He is a skilled problem solver and an excellent communicator who is passionate about using his skills to create innovative solutions to complex problems.