I bridge the gap between complex technical architecture and the people who depend on it. By combining the precision of an Electrical Engineer with the analytical depth of an AI specialist, I engineer data pipelines, QA frameworks, and automated systems that turn operational noise into actionable "ground truth." I want to be transparent: my career is built on a high-intensity Master’s program in Artificial Intelligence and specialized technical roles here in New Zealand rather than decades in the local workforce. However, I believe my "malleable" background is my greatest asset. Because I don't rely on decades of entrenched legacy habits, I move with the speed of modern technology. I bring the structural logic of an Electrical Engineering degree, the composure of a professional who has maintained 99.9% operational accuracy under peak pressure, and the deep-tech curiosity of an AWS and Google Cloud certified engineer. I don't just build isolated pipelines or fix tickets; I look at your business as a complete ecosystem and optimize it for growth, stability, and human usability. What I Do & Previous Experience: My approach to solving client problems is shaped by a unique "pathway of discipline." I actively recall the rigor required to optimize complex, high-stakes environments and apply that logic directly to your business challenges: Scaling Data Infrastructure: I have engineered and optimized end-to-end AWS ETL pipelines, successfully processing massive 2.4TB datasets to reduce processing time by 83% and cut infrastructure costs by 30%. System Performance & Assurance: At Eccuity, I built a performance measurement framework from scratch to validate four competing AI systems. I specialize in identifying hidden accuracy degradation before it hits production - in one instance, improving system reliability by 32% and driving a critical executive product decision. Data Integrity & Automation: While managing global repositories of over 10,000 technical enterprise assets, I engineered SQL-based automated workflows to replace highly repetitive manual tasks, ensuring 100% data integrity and system security. User-Centric Tooling: I don't just build the back-end; I translate it. I developed EcoTrack - a real-time Streamlit dashboard designed specifically to take complex performance metrics and make them instantly understandable for non-technical operational users.…I bridge the gap between complex technical architecture and the people who depend on it. By combining the precision of an Electrical Engineer with the analytical depth of an AI specialist, I engineer data pipelines, QA frameworks, and automated systems that turn operational noise into actionable "ground truth." I want to be transparent: my career is built on a high-intensity Master’s program in Artificial Intelligence and specialized technical roles here in New Zealand rather than decades in the local workforce. However, I believe my "malleable" background is my greatest asset. Because I don't rely on decades of entrenched legacy habits, I move with the speed of modern technology. I bring the structural logic of an Electrical Engineering degree, the composure of a professional who has maintained 99.9% operational accuracy under peak pressure, and the deep-tech curiosity of an AWS and Google Cloud certified engineer. I don't just build isolated pipelines or fix tickets; I look at your business as a complete ecosystem and optimize it for growth, stability, and human usability. What I Do & Previous Experience: My approach to solving client problems is shaped by a unique "pathway of discipline." I actively recall the rigor required to optimize complex, high-stakes environments and apply that logic directly to your business challenges: Scaling Data Infrastructure: I have engineered and optimized end-to-end AWS ETL pipelines, successfully processing massive 2.4TB datasets to reduce processing time by 83% and cut infrastructure costs by 30%. System Performance & Assurance: At Eccuity, I built a performance measurement framework from scratch to validate four competing AI systems. I specialize in identifying hidden accuracy degradation before it hits production - in one instance, improving system reliability by 32% and driving a critical executive product decision. Data Integrity & Automation: While managing global repositories of over 10,000 technical enterprise assets, I engineered SQL-based automated workflows to replace highly repetitive manual tasks, ensuring 100% data integrity and system security. User-Centric Tooling: I don't just build the back-end; I translate it. I developed EcoTrack - a real-time Streamlit dashboard designed specifically to take complex performance metrics and make them instantly understandable for non-technical operational users.WWWW…