About

Arjit Katare is a skilled Sr. AI Engineer with over 4 years of experience in the field of Artificial Intelligence, Machine Learning, and Technology Consulting. He is currently working as an AI Engineer at Milky Way AI where he is responsible for developing and deploying machine learning pipelines, researching new reward metrics for contextual question generation, and implementing deep learning models using TensorFlow or PyTorch in parallel with Spacy. Arjit has a Bachelor of Technology degree in Electrical Engineering from the prestigious Indian Institute of Technology, Kanpur. He is skilled in Python, C++, API Development, Natural Language Processing, Image Processing, and Machine Learning. He has experience in using numpy, scikit-learn, OpenCV, ffmpeg, dlib, and other utility Python packages as per requirements. Arjit has worked as a Machine Learning Engineer at VMock where he made a tone analysis model based on word selection from a sentence and its emotion detection using word emotion model, implemented skills filtering of person transcript in relevance with the job description, and made a development panel for all the models implemented for testing and analysis by the product and QA team. He has also researched and designed feature extraction methods from Video in-sync with text and audio for more robust classifications and integrated BERT(Transformer) along with standard glove vector resulting in improved accuracy with high precision and recall. Arjit has also worked as a Technology Consultant intern at PwC and as an Advisor at the Films and Media Council, IIT Kanpur. He has experience in understanding basic criteria responsible for deciding a person's performance in an HR interview, reading and implementing new research papers as per requirement, and deploying models on a cloud server. Arjit is a Research Scientist with a keen interest in reading and implementing new research papers as per requirement and testing their real-world applicability. He has experience in designing and developing machine learning pipelines from development to deployment in production and is currently working on a Question Answer scoring system for verification of mentioned skills in the resume. Arjit has a diverse tech stack that includes AI, ML, Python, Image Processing, NLP, BERT, Web, Corpus, OpenCV, Scikit, and QA.