Senior Cloud & AI Engineer

Driving Innovation with Agentic AI & Modern Applications | AWS & Azure

About Me

As a Cloud & AI Engineer with over 5 years of experience in technical consulting, I'm passionate about helping organizations solve complex problems by designing and deploying scalable, secure cloud solutions. My journey into AI began with a deep academic dive during my honours thesis, where I researched the robustness and security of Large Language Models—work that cemented my commitment to the principles of Responsible AI.

Today, I apply that foundational knowledge in a practical setting, leading hands-on technical engagements like Proof-of-Concepts (PoCs) to drive the adoption of modern technologies. I thrive on bridging the gap between technical possibility and business value, acting as a trusted advisor to developers and senior stakeholders alike. I am actively deepening my expertise in the Microsoft AI stack, eager to help customers build the next generation of intelligent, agentic applications.

Core Competencies

A selection of my technical skills and areas of expertise.

Career Journey

A timeline of my professional experience and growth.

Project Spotlights

Highlights of my work demonstrating technical leadership and business impact.

AI Research: LLM Robustness

My honours thesis explored a critical component of Responsible AI.

Thesis: Evaluating the Robustness of Large Language Models

My research investigated the reliability and security of LLMs against adversarial attacks. This exploration is fundamental to deploying trustworthy AI systems, a core principle of Responsible AI.

I developed and applied evaluation frameworks to benchmark model performance, providing insights directly relevant to the secure deployment and fine-tuning of modern AI applications. This work demonstrates a foundational expertise in the principles behind Microsoft's Responsible AI framework.

The chart conceptually illustrates how applying robustness techniques can significantly improve a model's defense against various types of adversarial attacks, making it more reliable for enterprise use.