Faizan Khan

Background

About Faizan Khan

Deep background in natural language processing artificial intelligence machine learning deep learning and data science. Faizan Khan is a full-time professional working at Finetune Learning as an AI and Machine Learning Applied Scientist working with giants in the field like Kaplan Ascend and CompTIA to create and tag questions for different domains. Faizan has 4+ years of professional work experience in the NLP and Data Science domain. Most recently Faizan was an intern at Philips and successfully completed a research project beating the State-of-the-art in relation extraction. Prior to joining CMU Faizan Khan worked professionally in full-time and part-time capacities as a hands-on NLP developer on a variety of Natural Language Processing problems like: - Question Answering. - Search. - Text Generation. - Conversational AI. - Information Retrieval. - Text and Video Summarization. - Named Entity Recognition(NER). - Text Classification. - Speech and Audio Processing. In his past experience Faizan has been responsible for handling different parts of the AI development pipeline from data modeling to deployment giving him the skill and technical know-how of working on end-to-end systems. Outside of work Faizan is an avid reader enjoys an occasional game of chess and is a food and cinema lover. Recently Faizan and his team were featured in India's leading newspaper The Times of India for a project they completed at KPMG India which identified fake products and websites online. Over the years he has won multiple accolades in hackathons like J.P Morgan's Code for Good MIT's Opioid Prevention hackathon and more. Faizan is driven ambitious and quick-witted. He has vast experience leading and working with diverse teams in AI development projects. He also has great communication skills which he has portrayed on multiple occasions while spearheading or shadowing leaders in projects with corporate giants like Toyota Accenture KPMG Schneider and more.