About

Anurag Sharma is a highly skilled Principal Engineer with over 7.86 years of experience in the field of data science and software product development. He holds a Masters degree in Computer Science from the University of Florida and has completed Computer Vision and Deep Learning NanoDegrees from Udacity. Currently, Anurag works as a Principal Engineer at skidos, where he is responsible for managing the company's Data Lake and developing tools using Python, Apache Airflow, AWS Glue, AWS Athena, AWS S3, BigQuery, MySQL, and MongoDB. He is also involved in adding Natural Language Processing (NLP) capabilities to the ArcGIS platform. Anurag has worked with several renowned companies in the past, including Radisys and ESRI. At Radisys, he optimized the FAISS index to retrieve relevant Wikipedia passages in 1/10th of the time and participated in designing and implementing the HLD & LLD of the Question Answering System. At ESRI, Anurag added Text Classification & Named Entity Resolution modules supporting transformer architectures like BERT, RoBERTa, XLNET, etc to the company's enterprise software offering arcgis.learn. He also used embedding techniques to find similar images from a corpus of 9.5 million images and trained a NER model to create a Knowledge Graph by extracting named entities from text documents. Anurag is proficient in several programming languages and tools, including Python, Deep Learning, Neo4j, RabbitMQ, and MongoDB. He has completed personal projects on image/document classification, transfer learning, sentiment analysis, natural language generation, and more. Anurag is always eager to learn new concepts and spends his time exploring machine learning and deep learning. Anurag is currently looking for opportunities in the field of data science and software product development. His skills in AWS, Python, Data Science, Neo4j, MongoDB, Deep Learning, NLP, ML, SQL, Sentiment Analysis, AWS Glue, Apache Airflow, Amazon Athena, Scikit, Java, RabbitMQ, MySQL, Senior Software Engineer, Kafka, BERT, Text Classification, Software Engineer, GPT, Corpus, Tensorflow, and Pytorch make him a valuable asset for any organization.