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).
Zain ul Abideen is ML engineer adept at LLM pretraining, fine-tuning, rlhf, rag, and agentic workflows: 🤖(https://github.com/abideenml)
Introduction John Snow Labs’ latest 2025 release of its Medical Large Language Models advance Healthcare AI by setting new state-of-the-art accuracy on medical LLM benchmarks. This advances what’s achievable in...