Master's student in Computational Engineering at TU Darmstadt, building open-source tools for trajectory optimization and control systems.

MAPTOR - A Python framework for trajectory and design optimization using pseudospectral methods with adaptive mesh refinement. Handles everything from parallel parking and manipulators to spacecraft missions.

I work on trajectory optimization problems where you need to find the best path while simultaneously optimizing system parameters - like sizing rocket engines while planning ascent trajectories, or choosing actuator capacities while planning robot motion.

eVTOL Landing Optimization (Bachelor Thesis)
Built a simulation framework for efficient eVTOL aircraft landing missions with dynamic collision avoidance using direct multiple shooting with CasADi.

Nonlinear Model Predictive Control
Implemented NMPC for vertical rocket landing simulation using CasADi and Python.

Previous Work: Parallel parking trajectory optimization, drone pathfinding with Grey Wolf Optimization, sensor data analysis for automotive research at TU Darmstadt's Institute for Mechatronic Systems.

Languages: Python (advanced), MATLAB/Simulink (advanced), Julia (intermediate), C/C++ (learning)
Optimization: CasADi, IPOPT, trajectory optimization, optimal control, model predictive control
Tools: Git, LaTeX, Siemens NX

Mechanical Engineering (TU Darmstadt, 2025) now pursuing Computational Engineering Master's. Indonesian, based in Darmstadt, Germany. Trilingual: Indonesian, German, English.

Currently working as a student research assistant analyzing automotive sensor data with MATLAB.

📧 [email protected]
💼 LinkedIn
🚀 Open to collaboration on trajectory optimization and control projects