Ai automation and workflow specialist
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I’m someone who’s always been drawn to how systems work under the hood and, more importantly, how to make them work better. My background is in cybersecurity and IT, but over the last couple of years I’ve leaned heavily into AI and automation, designing workflows that don’t just save time but actually improve how organisations operate day to day.
In my current role as an AI Workflow and Automation Specialist, I build and deploy intelligent systems using tools like n8n and modern AI APIs, focusing on reliability, security, and scalability. A big part of my work has been integrating AI into existing environments without compromising governance or data protection. Before that, I worked across network engineering and IT support roles, which gave me a solid grounding in infrastructure, troubleshooting, and the realities of keeping systems running in live environments.
What’s often overlooked is how important it is to bridge the gap between technical teams and business needs. I’ve spent a lot of time working cross-functionally, translating complex technical ideas into something stakeholders can actually act on, while still keeping the underlying systems robust and secure.
I’d describe myself as practical and solutions-focused. I like getting into complex problems, breaking them down, and building something that genuinely makes a difference. At the same time, I’m someone who keeps learning. Right now, I’m continuing to deepen my expertise with certifications in networking and cloud technologies, alongside staying current with how AI is shaping the cybersecurity landscape.
Outside of work, I enjoy building side projects, exploring new technologies, and anything that sharpens my thinking, whether that’s technical or just understanding how people and systems interact.
I’ve built my career across cybersecurity, IT infrastructure, and more recently AI-driven automation, with each role adding a layer of depth to how I approach systems, risk, and efficiency.
Most recently, I’ve been working as an AI Workflow and Automation Specialist, where I design and deploy intelligent automation using tools like n8n and modern AI APIs. The focus isn’t just automation for its own sake, but doing it in a way that’s secure, scalable, and aligned with business needs. I’ve led projects that reduced manual workload significantly while improving accuracy and decision-making speed.
Alongside that, I’ve had hands-on experience integrating AI into cybersecurity environments. In one of my recent roles, I worked on embedding AI into security workflows, which improved threat detection and response times by about 30%, while also helping reduce incidents through better alignment with risk management practices. That experience really shaped how I think about AI not just as a tool, but as something that needs proper governance and control to be effective.
Earlier in my career, I worked as a Network Engineer and IT Head in a banking environment, where I was responsible for building and maintaining secure, high-availability infrastructure. That role taught me a lot about resilience, compliance, and what it means to operate in a high-stakes environment where downtime and security lapses aren’t an option.
I’ve also spent time in IT support and technical engineering roles, resolving complex issues, managing system updates, and improving overall system performance for distributed teams. It gave me a strong foundation in troubleshooting and a practical understanding of how systems behave in real-world conditions.
Across all of this, the common thread is that I like building systems that are reliable, secure, and genuinely useful. Whether it’s infrastructure, security, or automation, I tend to approach things with a mindset of long-term stability rather than quick fixes.
