Engineering an End-to-End ML System for a Financial Assistant Using LLMs
Hosted by Tech Community Helsinki and remote
Details
Join us at "Engineering an End-to-End ML System for a Financial Assistant Using LLMs" for an enriching session under the "Papers Club.” We will discuss MLOps topic this time with the author of 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸!
About moderator:
Paul Iusztin is a Senior Machine Learning Engineer at [Metaphysic.ai](http://metaphysic.ai/). He specializes in MLOps and contracting services, to facilitate startups in developing robust, production-ready ML/AI systems. Boasting over half a decade of hands-on experience in the AI landscape, Paul combines his vast knowledge in machine learning, software engineering, and mathematics to create impeccable AI solutions tailored for impactful business results.
Paul has initiated and led a remarkable number of Machine learning projects, each showcasing their innovative thinking and leadership skills. He also received numerous honors and rewards including the award issued by Innovation Labs in February 2020 which represents a significant achievement for Paul and his team, who participated in a startup incubator program.
More details and registration: