I help you turn real-world problems into clear, solvable mathematical models.
I am an Operations Research engineer with a background in logistics, transportation and optimization. I build and solve models for routing, scheduling and resource allocation using CPLEX, Python, OR-tools, Gurobi, COPT, Lingo, GAMS, MATLAB. My goal is to give you not only a solution, but also a model that you can understand, reuse and extend.
What I can do for you:
- Formulate optimization models (LP, MILP, IP) for your business or academic problem
Build models for routing, scheduling, assignment, network flow, facility location, inventory and similar topics
Analyze results, provide sensitivity insights and explain trade-offs
Prepare clean LaTeX reports or documentation with formulas, figures and tables
Typical use cases:
Vehicle routing and delivery planning
Staff / machine / crane / truck scheduling
Supply chain, logistics and transportation optimization
University homework, projects or theses that need a solid OR model and implementation
Why work with me:
Real-world experience as an OR algorithm engineer in port & logistics optimization
Strong academic background in logistics management and management science
Clear communication: I explain the model structure and assumptions in simple terms
Reproducible work: well-structured code, comments and documentation so you can learn from it
I am comfortable working with students, researchers and businesses.
Share your problem description (data, constraints, objectives), and I will suggest a modeling and solution plan tailored to your needs.