Hi! My name is Nguuma, and I'm a Lead AI and Cybersecurity Engineer with over 14 years of experience building secure AI tools, web platforms and cloud systems. My work sits at the intersection of AI engineering and cybersecurity: private LLMs and SLMs, RAG, AI agents, AI evaluation, DevSecOps, SIEM and vulnerability management. I build for environments where privacy, safety and reliability are non-negotiable, across FinTech, healthcare, public sector, broadcasting, and security research, including regulated industries, vulnerable populations and critical infrastructure.

I hold an MSc in Computer Networks and Security from the University of Essex, and I am ISC2 Certified in Cybersecurity (CC), alongside CompTIA Security+, the Google Cybersecurity Professional Certificate and NVIDIA's Domain-Adaptive Pre-Training for LLMs specialisation. Most recently, as AI Specialist and Senior Developer at Purecontent Media, I built the Financial AI Podcast Generator for eToro end to end, cutting episode production from 5 to 8 hours down to 3 to 4 minutes across 106 episodes, with a Bandit security audit returning zero high-severity findings. Before that, I was Technical Lead, AI and Secure Systems at Media Health and Rights Initiative (MHR), where I built PadiChat, a private AI counselling platform, from the first commit to production for young Nigerians seeking sexual and reproductive health support, holding 99.9% uptime and automating over 1,000+ routine counselling inquiries.

I have published three open-source fine-tuned small language models on Hugging Face, each built to run inside an organisation's own infrastructure with no sensitive data leaving the environment. My Security-SLM models covering the full AI attack surface from SOC triage to agentic lateral movement and RAG vector-store poisoning have surpassed 6,600+ combined downloads. I also publish Med-Lab-finetuned, applying the same methodology to clinical laboratory diagnostic reasoning for resource-constrained environments.

Aside from building, I write and speak about AI security and sovereign AI adoption. I have been cited as an AI researcher by The Guardian Nigeria, Daily Trust, Radio Nigeria, and Leadership Nigeria, and quoted by Informatics Magazine, an international technology outlet, on access control for AI systems. I have spoken at GDG Build with AI 2026 and World Creativity and Innovation Day 2026, and I conduct applied research into emerging LLM attack surfaces and secure AI adoption for regulated environments.

My career ambition is to be the engineer and researcher who proves that security and AI capability are not in tension, that the most powerful systems are also the safest ones. I want to help shape the standards by which the world's most sensitive AI deployments are built, and leave behind models, tools and frameworks that make secure AI accessible to the organisations that need it most.