About

Vishwa Dadhania is an Applied ML-DL and NLP professional with a keen interest in AI, Deep Learning, and Machine Learning. He is a self-learner through MOOCs and has hands-on experience with image data and text data on various deep learning frameworks. Vishwa has a Masters in Signal Processing and Communications from the Indian Institute of Technology, Kanpur (2013-2015). Vishwa has worked as a Machine Learning Engineer for NLP at StudyMode Technologies Bangalore (Mar 2020-Dec 2021) and as an ML Developer at ToneTag Bangalore (2019-2020). He has also worked as a Senior Physical Design Engineer at MediaTek Bangalore (2015-2018). Currently, Vishwa is working as a Machine Learning Engineer at Bartleby, where he is a part of the Content Brain team. He performs analysis and develops machine learning solutions for different Natural Language Processing problems on educational websites. Vishwa's tech stack includes ML, Deep Learning, NLP, AI, Computer Vision, Python, Neural Networks, Keras, Tensorflow, Pytorch, AWS, Hyperparameter, CNN, RNN, Corpus, Scikit, Data Scientist, and Pandas. He has a relevant experience of 10.53 years. Vishwa is an active learner and has a Github link (https://github.com/Vishwa22) where he shares his projects and contributions. He has also worked as a Deep Learning Intern at The School of A.I. as part of their Artificial Intelligence External Internship Program. Overall, Vishwa is a highly skilled Applied ML-DL and NLP professional with a passion for AI and Machine Learning. He has a strong academic background and a wealth of experience working with a variety of deep learning frameworks.