AI Software Engineer at IBM Research AI Foundations | Engineering Reliable & Responsible AI

I focus on generative programming—engineering the tools and frameworks that bridge the gap between the probabilistic nature of LLMs and the rigorous predictability of traditional software engineering.

With a background spanning from core ISDN development and kernel modifications to modern quantum infrastructure, my approach is rooted in understanding the full business context before writing a line of code. When a complex problem demands it, I am a full-stack troubleshooter—digging from the UI down to the OS to find the true root cause.

• View my full technical CV (Includes my complete 35-year engineering history, AI infrastructure work, and open-source portfolio).

• Agentic Frameworks & Mellea: Driving core backend engineering for the Mellea library and the open-source BeeAI framework to ensure reliable, enterprise-grade generative program execution.
• AI Tooling: Exploring and integrating models and frameworks across the ecosystem, including OpenAI, Amazon Bedrock, Google Vertex AI, Grok, and crewAI.
• Systems Engineering: Developing primarily in Python and Java, while actively expanding into Go and Rust.

• Egeria: Co-founder and former core maintainer of the Linux Foundation's ODPi Egeria open metadata project.
• PQCA: Technical Steering Committee (TSC) Lead for the Post-Quantum Cryptography Alliance (PQCA) and the PQ Code Package, guiding quantum-safe implementations.

• Languages: Python, Java, C, C++, Go, Rust
• Configuration & Data: JSON, YAML
• Infrastructure: Kubernetes, Docker, Tekton CI/CD
• Environment: Developing on macOS using VSCode; deeply comfortable in Linux/Unix environments (debugging *nix systems since 1986).

• LinkedIn: linkedin.com/in/nigelljones
• Website: about.me/planetf1