About

Prashant Kikani is a highly skilled Software Engineer with a passion for solving complex problems in the fields of Natural Language Processing (NLP), Computer Vision, and Machine Learning (ML). He has a proven track record of delivering exceptional results and has achieved the Master title in Kaggle competitions, ranking in the top-100 worldwide. Currently, Prashant is working as a Software Engineer at Instabase, where he is leveraging his expertise to develop innovative solutions that transform the way people work. Prior to this, he served as Lead Data Scientist and Data Science Engineer at Embibe, where he managed multiple machine learning projects and contributed significantly to the field of Neural Machine Translation (NMT). Prashant's contributions in NMT include building a self-sufficient and language agnostic NMT training platform that trains models from scratch. He has also trained and deployed translation models from English to 11 Indian vernacular languages, including Hindi, Tamil, Telugu, Marathi, Gujarati, Kannada, and Bengali, with decent BLEU scores. This work has significantly increased the productivity of human translators by 2 to 3 times, saving the company a considerable amount in translation costs. Prashant's technical expertise includes Software Engineering, NLP, Computer Vision, ML, Keras, Deep Learning, Tensorflow, BERT, Pytorch, Python, AI, Scikit, and Pandas. He has a Bachelor's degree in Computer Science from Dharmsinh Desai University and has completed his higher secondary and secondary education from Alpha High School. With 4.27 years of relevant experience, Prashant is a highly motivated and dedicated professional who is always looking for new challenges and opportunities to grow. He is also a talented writer and shares his knowledge and insights through his personal website.