At CareMaster, a leading software company specialising in solutions for community service providers, I hold a pivotal role in the development and deployment of cutting-edge optimisation solutions. My responsibilities include:Developing Optimisation Engines: Designed two state-of-the-art optimisation engines; one for community transportation and another for home healthcare services. Both algorithms harness the latest AI techniques to cater to a wide spectrum of requirements.Meeting Customised Demands: Tailored the algorithms to accommodate on-demand requests, live updates, manual interventions, and a diverse set of control parameters.Training Support and On-boarding Teams: Conducted comprehensive training sessions to ensure that support and on-boarding teams have a profound understanding of the solutions. Ensuring Quality and Compliance: Collaborated with cross-functional teams to establish quality standards and ensure adherence to regulatory requirements. Providing Continuous Support: Acted as a go-to expert for all matters related to optimisation within the company. Innovative Problem-Solving: Continuously sought opportunities to innovate and enhance our software solutions, staying ahead of the technological curve, and providing our clients with the most effective and efficient services.Collaboration and Communication: Maintained open lines of communication with stakeholders, clients, and team members to ensure a cohesive approach to achieving the company's goals.I take pride in my ability to develop and implement intelligent solutions that have a tangible impact on community service providers.

I taught “Deterministic and Stochastic Optimisation”.

Developed a vehicle routing algorithm meeting diverse requirements for Australian community-based transport service providers (e.g. those registered with the National Disability Insurance Scheme and Commonwealth Home Support Program)Developed an application programming interface (API) to connect the user interface, algorithm, mapping services.

Project title: Energy-aware inventory optimization model for agri-fresh food supply chain I developed a heuristic inventory optimisation method according to the requirements of Australia’s largest fruit supplier to manage warehouses during the harvesting season such that demands are supplied all year round and operational costs are minimised.

I worked on many industrial and research projects modelling and solving real world problems using mathematical and heuristic optimisation techniques. During these years, I encountered and solved different variants of optimisation problems including not limited to planning and scheduling, vehicle routing, facility location, inventory planning, portfolio optimisation, timetabling and staff rostering, and distribution planning in various industries.