Maziyar Panahi is a Principal AI / ML engineer and a senior Team Lead with over a decade-long experience in public research. He leads a team behind Spark NLP at John Snow Labs, one of the most widely used NLP libraries in the enterprise.
He develops scalable NLP components using the latest techniques in deep learning and machine learning that includes classic ML, Language Models, Speech Recognition, and Computer Vision. He is an expert in designing, deploying, and maintaining ML and DL models in the JVM ecosystem and distributed computing engine (Apache Spark) at the production level.
He has extensive experience in computer networks and DevOps. He has been designing and implementing scalable solutions in Cloud platforms such as AWS, Azure, and OpenStack for the last 15 years. In the past, he also worked as a network engineer in high-level places after he completed his Microsoft and Cisco training (MCSE, MCSA, and CCNA).
He is a lecturer at The National School of Geographical Sciences teaching Big Data Platforms and Data Analytics. He is currently employed by The French National Centre for Scientific Research (CNRS) as IT Project Manager and working at the Institute of Complex Systems of Paris (ISCPIF).
John Snow Labs is thrilled to announce the immediate availability of the new major version of Spark NLP 2.5 with spell checking and sentiment analysis - the world’s most widely...
The AI industry’s most widely used NLP library for Python and Java delivers a major new release of its software & models – improving accuracy and scale for named entity...
The latest major release merges 50 pull requests, improving accuracy and ease and use Release Highlights When we first introduced the natural language processing library for Apache Spark 18 months...
Natural language processing (NLP) is essential in a growing number of AI applications. Extracting accurate information from free text is a must if you are building a chatbot, searching through...