About

Saransh Mehta is an experienced Artificial Intelligence professional with a focus on Deep Learning and Natural Language Processing. He has a strong background in Electronics and Telecommunications, having completed his B.Tech from NIT Raipur in 2019. Currently working as an AI/ML Engineer - Language at Oracle, Saransh has also worked as an AI Engineer at Haptik in the past. He has co-authored a book on Deep Learning covering the fundamentals of Neural Networks, Tensorflow, Keras, and advanced Deep Learning architectures such as Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Object Detection with Single Shot Multibox Detector (SSD) with Tensorflow detection zoo, Image segmentation with Fully Convolutional Networks (FCN), Mobilenets, etc. Saransh has built several components for Conversational AI systems, including a multi-task NLP toolkit that trains and infers a single model for multiple tasks, document information discovery using extractive machine comprehension, text similarity score as textual entailment, abstractive response generation, intent discovery system for matching query to intent, and discovering potential new intents. He has also worked on fundamental NLI tasks such as intent detection and slot filling in a multi-task learning setup. Saransh is proficient in Python, Pytorch, Transformers, Tensorflow, Keras, Pandas, NLTK, SpaCy, Scikit-Learn, Gensim, OpenCV, and other relevant libraries. He has experience in ML, Deep Learning, AI, NLP, CNN, Neural Networks, RNN, Object detection, BERT, Text Classification, Reinforcement Learning, Image Segmentation, GPT, Word2Vec, Parts-of-speech, and more. Overall, Saransh has 4.61 years of relevant experience in the field of Artificial Intelligence and is a valuable asset to any team looking to develop advanced AI systems.