Conducted multi-objective optimization research for sustainable disassembly planning. Implemented and compared GA, PSO, ACO, and NSGA-II algorithms; developed a custom PPX crossover and constraint-handling to ensure feasible solutions. Built Python prototypes and benchmarked solutions using hypervolume to evaluate Pareto front quality; produced modular tooling for data processing and result handling.

Designed problem-based exercises to improve students' algorithmic thinking and debugging skills; supported instruction for introductory programming topics.

Assisted with ERP usage troubleshooting and user-support tasks for a mid-sized service company (approx. 100–500 employees). Helped translate user needs into technical requirements, documented processes, and bridged communication between users and technical teams.