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.

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

Quick, real-time LLM endpoint benchmarks from your browser. Measures speed, throughput, latency, accuracy, token usage, and estimated cost, with no setup required. Try it live →

Practical benchmarks, performance tests, and hands-on evaluations for open models, including a visual explorer for models on Nebius Token Factory. Explore models →

Open-source, reproducible visual explainers for AI and software concepts. Watch them, reproduce them, remix them. Watch on YouTube →

A live visual arena where two LLMs battle at Snake, a fun way to compare model latency, reliability, and decision-making across OpenAI-compatible APIs. Try it live →

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

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

• 💻 Coding with open models — how open models perform in real coding workflows with Claude Code, Codex, OpenCode, Cline, and Cursor
• 🧪 Evals — practical benchmarks for models, endpoints, and model + agent-harness combinations · Practical LLM Evals
• ⚡ Inference — LLM performance, latency, throughput, and cost · ZebraBench, LLM Snake Arena
• 🤖 AI agents — agentic workflows and tool use
• 🧹 Data prep — document processing and data preparation for AI · Data Prep Kit Examples
• 🦾 Physical AI — robotics and embodied AI

🎤 I speak and run hands-on workshops on these topics, and make open-source Visual Explainers for AI concepts. Get in touch.

Models and inference: Open models, Ollama, Nebius Token Factory, hosted and self-hosted inference

AI and agent frameworks: LangChain, Deep Agents, Tavily, OpenWiki, Docling

Languages and infrastructure: Python, Docker, Kubernetes, cloud infrastructure