About

Poonam is a highly skilled Deep Learning Researcher with over 10 years of relevant experience in the field of Artificial Intelligence. She is currently associated with Jarvislabs.ai as a Deep Learning Researcher, where she is involved in building the world's most affordable 1-click GPU cloud platform. She has expertise in various technologies such as Spark, Python, Pytorch, Keras, Scikit, MapReduce, Pandas, and Big Data, which she leverages to design and build deep learning applications. Poonam is a Fast.ai Fellow and a Kaggle Notebooks Master, with a personal profile page on Kaggle that ranks 18th worldwide. She has also been recognized as a Kernel Expert on Kaggle. She has worked on several data-related projects, with a focus on computer vision and NLP. She has achieved over 97.9% accuracy to diagnose crop disease in 38 pairs of diseased leaves images and segmented over 32 distinct objects in images to predict masks with 95% accuracy. She has also built a regression model using ResNet to predict face coordinates in an image. Poonam has worked with Towards Data Science as a Data Science Communicator and has written extensively about neural networks and deep learning best practices. She has also worked as a freelance ML/Deep Learning Engineer, where she has worked on several projects and has been a lifelong learner and self-paced student on various AI/Data science MOOCs. Poonam has a Master of Computer Applications (MCA) degree from Vishwakarma Institute of Technology and a Bachelor of Computer Applications (BCA) degree from Cummins College of Engineering for Women. She has expertise in various technologies such as Deep Learning, AI, Spark, Python, ML, Scikit, MapReduce, Pandas, Big Data, Data Scientist, Tensorflow, NoSQL, Cassandra, Hadoop, ResNet, Neural Networks, Apache Hive, Computer Vision, Image Segmentation, and NLP.