Mookwon’s Portfolio

Bridging the gap between complex mathematical theory and high-performance engineering solutions.

Software Engineer & Data Scientist specializing in real-time embedded systems, motor control, and high-performance physical simulations. With a PhD in Mathematics and over 8 years of industry experience, I build reliable, data-driven firmware and optimization models for Next-Gen energy and environmental systems.

Mookwon Seo

Featured Projects

Wind Energy Simulation

Real-time Wind Energy Control

Developed bare-metal firmware and motor control algorithms for an innovative wind energy system. Conducted structural fatigue analysis and managed large-scale data pipelines for turbine optimization.

C/C++ARM CortexIARPython
GPU Parallel Computing

GPU-Accelerated Optimization

Engineered a custom Parallel Sequential Quadratic Programming (SQP) algorithm using CUDA and C#. Outperformed commercial solvers in high-variable physical simulations for energy output maximization.

CUDAC#Parallel ComputingSQP
Hydrological Modeling

High-Performance Eco-Modeling

Optimized hydrological models for the Upper Colorado Basin. Reduced computational processing time by 30% through advanced parallel algorithms and numerical scheme refinements.

High-Performance ComputingJuliaMATLAB

Technical Expertise & Studies

Project Management Professional (PMP)

Advanced lifecycle management, strategic leadership, and resource optimization for large-scale engineering projects.

Details →

Digital Signal Processing (DSP)

Specialized research in FFT algorithms, real-time spectral analysis, and high-precision digital filtering.

Details →

Embedded Systems Engineering

Hardware-software co-design, firmware optimization, and RTOS implementation for mission-critical systems.

Details →