About

Rishab Mallick is an AI professional currently serving as a Data Scientist at Small Joys. With a strong background in Computer Science, Rishab has a keen interest in exploring the depths of Artificial Intelligence and Machine Learning. He has a relevant experience of 0.86 years in the industry and has worked on various projects in the field of AI. Rishab has a proven track record of delivering quality work and has worked with some of the leading companies in the industry. During his tenure at Google Summer of Code, Rishab worked as a Student Software Developer where he researched and created an automated framework for genomic data extraction from C. Elegans papers for WormBase using a hybrid combination of regular expressions, dictionary of terms and BERT NER. He successfully slashed the former biocuration timing of hours to few minutes and discovered new data from old papers previously missed during manual curation. Rishab has also worked as a Research Intern at CDAC where he worked with the image processing team on designing a mask compatible facial recognition system implemented for low-end devices using Python/TFLite. Rishab holds a B.Tech degree in Computer Science from St. Thomas' College of Engineering & Technology. He has a strong technical background and is proficient in AI, Research Scientist, Data Scientist, AWS, BERT, Python, Keras, Computer Vision, NLP, ML, TensorFlow, PyTorch, Object detection, Software Engineer, Object Detection, Image Processing, Text Classification, GPT, Deep Learning, and Docker. Rishab is a dedicated and hardworking professional who is passionate about exploring new technologies and improving his skills. He is a quick learner and adapts to new challenges with ease. Rishab's expertise in AI and his ability to deliver quality work make him a valuable asset to any organization.