About

Jash Tailor is a highly skilled Machine Learning Fellow with a passion for exploring the intersection of Machine Learning and Data Science. He is currently working at fellowship.ai, where he is responsible for creating end-to-end task-oriented conversational agents with seq2seq models (RNNs and Transformers with PyTorch), designing and creating datasets for the fashion domain, and researching Vision+NLP intersection for feature extraction and image captioning (Detic, ViT, GPT2, MS Oscar, etc.). Jash has gained valuable experience in the field of Machine Learning and Data Science through his previous internships at exposys data labs and kubixsquare. At exposys data labs, he built a Machine Learning model using Hyperparameter tuning which can give a high accuracy for predicting the occurrence of Diabetes in a patient. At kubixsquare, he led a team of 4 in developing a Machine Learning model for predicting the public sentiment on the top 10 cryptocurrencies based on their market evaluation. Jash's educational background includes a Bachelor of Engineering in Computer Science from St. Francis Institute of Technology, where he is expected to graduate in December 2022. He also holds a Higher Secondary Certificate in Science from Shri T.P Bhatia Jr. College of Science and an International General Certificate of Secondary Education in Science from Witty International School. Jash is a highly skilled professional with expertise in Machine Learning, Data Science, NLP, Research Scientist, Pytorch, and Hyperparameter. With 1.19 years of relevant experience, he has a proven track record of delivering high-quality work in his field. He is passionate about exploring new technologies and applying them to solve complex problems. Jash is a team player who is always willing to learn and collaborate with others to achieve common goals.