About

Chitranshu Agrawal is a Lead Engineer (ML) at Infoedge, with a strong background in machine learning and artificial intelligence. He has almost 3 years of relevant experience in the field and has worked with several leading companies in the insurance domain. Chitranshu's expertise lies in building knowledge graph architecture and developing pipelines for information extraction models like NER and RE models. He has also built custom ensembling models using classification and regression models for insurance data. Additionally, he has worked on Automated Sign Language Recognition, where he used OpenCV to extract facial expressions from an image and performed hand classification using custom logic. He has also built custom encoder-decoder models using attention mechanisms. Chitranshu is proficient in a variety of programming languages and technologies, including Python, C, SQL, Pytorch, Azure, Jupyter, Computer Vision, Sagemaker, OpenCV, Scikit, and GCP. He is also skilled in AWS services like Lambda, EC2, and Neptune. He has experience working with big data and has worked as a research scientist and data scientist. Chitranshu completed his Bachelor's degree in Electrical, Electronics, and Communications Engineering from the National Institute of Technology Warangal. He also has a background in Mathematics and completed his Senior Secondary education from Sony Academy. Overall, Chitranshu is a highly skilled and experienced machine learning engineer with a strong background in developing and implementing complex solutions for clients in the insurance domain. He is a valuable asset to any team looking to develop cutting-edge machine learning solutions.