Yakhyokhuja Valikhujaev
AI/ML & MLOps Engineer focused on production LLMs, multimodal AI, and ML platforms.
I’m an AI/ML and MLOps engineer based in Seoul, focused on building reliable systems around LLMs, multimodal models, and Kubernetes-native ML infrastructure.
My work sits between model development and production engineering. I’m most interested in making ML systems practical: fine-tuning models for real use cases, designing retrieval pipelines, and building platform tooling that helps teams train, deploy, and operate models more reliably.
At Thaki Cloud, I work on private-cloud and Kubernetes infrastructure for distributed training and inference. Before that, I worked across conversational AI, multimodal systems, computer vision, and production model deployment in both research and product settings.
What I Work On
I enjoy working on the parts of AI systems that turn promising models into dependable products: training workflows, inference infrastructure, retrieval systems, and the operational details that make them usable at scale. My background includes LLMs, RAG, VLMs, model serving, and Kubernetes-based platform engineering across cloud and on-prem environments.
Writing & Community
I use this site to write about ML engineering, infrastructure, and applied AI. I also run a YouTube channel where I publish programming tutorials, with a special interest in making technical content more accessible for Uzbek-speaking learners.
Beyond Work
Outside of work, I enjoy swimming, hiking, and spending time with friends. I also keep a long-running interest in mathematics and physics, contribute to open source when I can, and occasionally solve algorithm problems on LeetCode to stay sharp on fundamentals.
Get in Touch
I’m always happy to talk about ML platforms, LLM systems, research collaboration, and open-source work. If you think we should build something together, feel free to reach out.