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0xnbk/README.md
NBK, AI Engineer and Software Architect. AI agents, models, backend, web, mobile and infrastructure. AI pipeline from idea to production: data and retrieval, fine tuned models, agents and tools, evals and guardrails, ship and run lean.

nbk.dev  ·  X  ·  Hugging Face  ·  PentesterLab

I design, ship, and run AI native products, along with the backends, web and mobile apps, and infrastructure behind them. Nearly twenty years into software engineering, I help companies put AI to work, ship faster, and spend less on infrastructure, with performance, security, and privacy designed in from day one.

Open for consulting. Email hello [at] nbk [dot] email

What I build. Agentic pipelines: multi step agents with tools, MCP servers, retrieval and evals, built to run in production. Custom model tuning: open models fine tuned on your data with LoRA and QLoRA, served on device or on RunPod GPUs. AI native products: semantic search, assistants, speech, vision and translation at the core of the product. Backends and apps: fast APIs, services, and web and mobile apps that stay simple to operate as traffic grows. Lean infrastructure: edge first architecture, caching and right sized hosting for quicker apps and smaller bills. Secure and private: security reviews backed by pentesting practice, and privacy first designs that keep data local. Stack. LLMs and agents: Claude, OpenAI, Gemini, MCP. Fine tuning: PyTorch, Hugging Face, Unsloth, Weights and Biases, Jupyter. Inference: RunPod, Ollama, llama.cpp, MLX, ONNX Runtime, Whisper. Backend: Python, FastAPI, PHP, Laravel, TypeScript, Hono, Rust. Web and apps: Svelte, Tailwind CSS, Livewire, Alpine.js, Angular, Tauri. Data: PostgreSQL, MySQL, SQLite, Redis, MongoDB. Cloud and ops: Cloudflare, AWS, DigitalOcean, Docker, GitHub Actions.

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