University Timetabling Optimization
ALNS scheduling optimizer that runs 7× faster than a pure constraint-programming baseline while satisfying room, lecturer, and workload constraints.
Experienced in translating mathematical methods into practical solutions across diverse domains.
ALNS scheduling optimizer that runs 7× faster than a pure constraint-programming baseline while satisfying room, lecturer, and workload constraints.
Ellipse fitting and spline interpolation pipeline that reconstructs Multi-Finger Caliper data into quantifiable cross-section deformation metrics (ovality, rejection rate, symmetric difference).
Differential-equation model of pneumonia transmission dynamics incorporating air pollution as an environmental driver, developed as a Master’s thesis at ITB.
Developing and implementing optimization models for complex operational problems.
Developed university timetabling and lecturer-course assignment optimization models. Implemented ALNS algorithm achieving 7x faster computation than CP-SAT. Built Financial and HR monitoring dashboards using Python and SQL.
Evaluated and graded assignments for 300+ students across Calculus, Engineering Mathematics, Matrices & Vector Spaces, and Linear Algebra. Developed clear grading rubrics for fair assessment.
Led 4 lab assistants, guided 50+ students in Python simulation and computation covering syntax, debugging, and visualization. Developed test problems for mathematical simulation.
One-year fast-track program combining bachelor's and master's studies.
Meritorious Award — SCUDEM VIII 2023 mathematical modelling competition.