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Building AI tooling, eval frameworks, and scalable web systems
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Building AI tooling, eval frameworks, and scalable web systems
  • UK

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Danultimate/README.md

Architecting digital systems for AI, web, and cloud.

I’m a full-stack software engineer focused on scalable web platforms, AI-enabled backends, and production-grade tooling. I build systems that are fast, observable, maintainable, and useful in the real world.

What I do

  • Full-stack engineering across backend, frontend, and infrastructure
  • AI workflows, LLM integrations, RAG, evals, and agent tooling
  • Production systems with strong testing, monitoring, and deployment discipline

Current focus

  • AI-backed developer tools
  • Self-hosted evaluation and testing frameworks
  • High-performance, maintainable web systems

Core stack

  • Backend: PHP, Laravel, Python, FastAPI, Node.js
  • Frontend: React, Next.js, TypeScript
  • AI: OpenAI API, Claude, LangChain, pgvector, RAG
  • Infra: AWS, Docker, CI/CD, Linux
  • Data: PostgreSQL, MySQL, Redis

Featured work

  • RedForge - adversarial testing for LLM applications
  • TraceForge - agent tracing and replay testing
  • EvalKit - multi-model evaluation with regression tracking
  • Runnory - biometric narrative running app
  • Codebase Intelligence Engine - RAG-powered repo Q&A with citations

What I value

  • Clear architecture
  • Measurable impact
  • Good developer experience
  • Shipping without unnecessary complexity

Open to

Full-stack and AI-focused engineering opportunities, technical collaboration, and interesting product work.

Contact

Pinned Loading

  1. redforge-llm redforge-llm Public

    Adversarial testing for LLM applications. Calibrated prompt-injection and jailbreak scans with reproducible reports. Pip install, async-first, framework-agnostic.

    Python 1

  2. traceforge traceforge Public

    Agent runtime tracing + LLM-mock replay for Python. Self-contained HTML reports, pytest snapshot testing, cost tracking. No SaaS.

    Python 2