Linda is a civil engineering professional with contractor-side experience in road construction, spanning design, construction, maintenance and ongoing contract delivery. As a contract engineer, Linda coordinated day-to-day delivery activities, monitored costs and performance, maintained site and commercial records, and prepared reporting for project teams and senior management.

Alongside civil engineering, Linda has a strong interest in data, automation, coding, and process improvement. Experienced in working with large operational, commercial and government datasets, Linda turns complex information into clear dashboards, streamlined processes and purpose-built digital tools. Linda’s technical experience includes object-oriented programming, web development, and designing user-friendly applications that improve visibility and make processes easier to manage.

Outside of work, Linda enjoys keeping up to date with the latest developments in technology and AI. Linda also enjoys building custom apps that solve random problems and experimenting with new tools to find smarter and more practical ways of getting things done.

Kevin is an Engineering Intern and a third-year Bachelor of Engineering (Honours) student at the University of Auckland, specialising in Engineering Science. With a natural curiosity and a genuine enjoyment of solving complex problems, Kevin is keen to apply his technical knowledge to practical challenges and learn from experienced project teams.

A high-achieving student Kevin has developed skills in programming, mathematical modelling, data analysis and engineering design. He brings a thoughtful, reliable and detail focused approach to his work and enjoys collaborating with others to find effective solutions.

Kevin has a solid foundation in structured and object-oriented programming. During his time with Resolve Group, Kevin has demonstrated a strong ability to develop efficient, well-documented code for engineering and data applications.

Kevin is skilled in solving statistical and probabilistic problems, with the ability to interpret data, model uncertainty, and support evidence-based decision making.