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Report abuseI’m an AI Developer Advocate at Nebius, helping developers build with open models through technical content, practical examples, guides, demos, and hands-on workshops.
I bring 25+ years of software-engineering experience across distributed systems, data engineering, machine learning, and cloud infrastructure.
Models and inference: Open models, Ollama, Nebius Token Factory, hosted and self-hosted inference
AI and agent frameworks: LangChain, Deep Agents, Tavily, OpenWiki, Docling
Data and retrieval: RAG, embeddings, Milvus, vector databases
Coding agents: Claude Code, Codex, OpenCode, Cline, Cursor
Languages and infrastructure: Python, Docker, Kubernetes, cloud infrastructure
I’m exploring how open models perform in practical, day-to-day software-engineering workflows—not just isolated benchmarks.
I’m particularly interested in repository-scale code understanding, feature implementation, debugging, refactoring, tool use, long-horizon coding tasks, and cost per task.
Models I’m currently testing: Kimi K2.7 Code, GLM-5.2, and MiniMax-M3.
A compatibility proxy for connecting Claude Code and other coding agents to open-model inference services such as Nebius Token Factory.
A full-stack, open-source RAG chatbot that answers questions about your website using open models, document processing, embeddings, and vector databases.
A hands-on collection of experiments covering LLMs, agents, RAG, inference engineering, and open-model workflows.
Practical examples using Data Prep Kit, showcasing document processing, data preparation, Docling, Milvus, and open-source RAG systems.
I speak and teach about:
🌐 sujee.dev • 🐙 GitHub • 💼 LinkedIn • 🐦 X • 🦋 Bluesky • 🎥 YouTube • 💬 Discord: @sujee.dev
🐍 A live visual arena where LLMs compete in Snake - compare model latency, reliability and decision-making across OpenAI-compatible APIs.
JavaScript
Chat with your website using LLMs
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