Engineering an End-to-End ML System for a Financial Assistant Using LLMs

Let’s discuss the MLOps topic with the author of 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸!

ПОЛ
ЮШТИН
Senior Machine Learning Engineer @ Metaphysic.ai
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About moderator
ПОЛЮШТИН
Senior Machine Learning Engineer @ Metaphysic.ai

Paul Iusztin is a Senior Machine Learning Engineer at 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.

 

👉 As an engineer, Paul is zealous about architecting scalable and modular AI/ML systems, adhering strictly to MLOp's best practices. His prowess lies in crafting these systems and ensuring they are seamlessly integrated, tested, deployed, and monitored.

 

👉 As an active ML community member, Paul fervently advocates for educating budding ML engineers. This commitment is evidenced by the variety of resources he provides – from meticulously curated hands-on courses and a consistent flow of enlightening LinkedIn posts to his weekly newsletters and insightful articles on his Medium blog.

 

👉 As the ML & MLOps hub creator, he has established a platform for professionals and enthusiasts to converge, share, and advance their understanding of the ever-evolving world of machine learning.

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