I’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.
- 💻 Coding with open models — evaluating open coding models with tools such as Claude Code, Codex, OpenCode, Cline, and Cursor
- 🤖 AI agents and agentic workflows
- 🔎 Retrieval-augmented generation, embeddings, and vector databases
- ⚡ LLM inference, performance, and AI infrastructure
- 🧹 Data preparation and document processing for AI
- 🧪 Evaluation of model and agent-harness combinations
- 🦾 Physical AI and robotics
- 🧑🏫 Hands-on workshops, demos, and developer education
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:
- Coding agents and open models
- AI agents and agentic systems
- RAG and vector databases
- LLM inference and infrastructure
- Open-source AI tools and workflows
🌐 sujee.dev •
🐙 GitHub •
💼 LinkedIn •
🐦 X •
🦋 Bluesky •
🎥 YouTube •
💬 Discord: @sujee.dev