Hi, I'm Sujee 👋

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.

🔭 What I’m working on and exploring

• 💻 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

🧰 Technology stack

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

💻 Coding with open models

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.

🛠️ Projects I’m building

Claude Code Proxy

A compatibility proxy for connecting Claude Code and other coding agents to open-model inference services such as Nebius Token Factory.

AllyCat

A full-stack, open-source RAG chatbot that answers questions about your website using open models, document processing, embeddings, and vector databases.

AI Playground

A hands-on collection of experiments covering LLMs, agents, RAG, inference engineering, and open-model workflows.

Data Prep Kit Examples

Practical examples using Data Prep Kit, showcasing document processing, data preparation, Docling, Milvus, and open-source RAG systems.

🎤 Talks and workshops

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

🔗 Connect with me

🌐 sujee.dev • 🐙 GitHub • 💼 LinkedIn • 🐦 X • 🦋 Bluesky • 🎥 YouTube • 💬 Discord: @sujee.dev