About

Om Prasad Mohanty is a highly skilled Machine Learning Research and Engineering professional with over 7 years of experience in the field. He is currently serving as the Chief Engineer (Machine Learning Research and Engineering) at Samsung, where he is responsible for developing and implementing machine learning solutions for the organization. Om is an expert in Deep Learning, Natural Language Processing, and Image Analysis, and has a keen interest in exploring the applications of Deep Learning in these areas. He is open to research collaborations in NLP, NLG, NLU, and Graph-based Deep Learning, and encourages interested parties to reach out to him for further discussion. Prior to his current role, Om worked as a Data Scientist at DataWeave, where he contributed to key product initiatives, including the Content Quality Product Suite and Attribute Tagging efforts. He created models for Named Entity Recognition, Entity Normalization, Entity Extraction, Aspect-Aware Sentiment Analysis, and Template Matching with Images, among others. He was responsible for the entire end-to-end ML process, including data handling, conceptualization, literature review, data preprocessing, experimentation, pipeline design, model building, serving scalable real-time APIs, and deployment. Om was also responsible for communication and collaboration across multiple teams and stakeholders, including Product, Business, QA, and others. Om has a strong educational background, with a Master's degree in Machine Learning and Artificial Intelligence from Liverpool John Moores University, a PG Diploma in Machine Learning and Artificial Intelligence from IIIT Bangalore, and a Bachelor of Technology in Electrical, Electronics, and Communications Engineering from the College of Engineering, Bhubaneswar. Om is highly proficient in a wide range of technical skills, including ML, Research Scientist, Deep Learning, NLP, NLU, Python, SQL, Computer Vision, OpenCV, Sentiment Analysis, Golang, BERT, Mobile, QA, Neural Networks, Pytorch, ResNet, Scikit, Django, Neo4j, CNN, Redis, TensorFlow, Search, AWS, Information Retrieval, SVM, Random Forest, Object Detection, Keras, Seaborn, RNN, Normalization, Parts-of-speech, n-grams, Object Detection, Image Processing, Pandas, MySQL, MongoDB, Kafka, Flask, Azure, Apache Hive, and Senior Software Engineering. Overall, Om is a highly skilled and experienced Machine Learning Research and Engineering professional with a passion for Deep Learning and its applications in NLP and Images. He is open to research