Mechanical Design Engineer transitioning into Industrial Reliability & Digital Systems Engineering. I build physics-based simulation, failure prediction, and production performance models using Python and C++ to support reliability engineering, predictive maintenance, and data-driven design decisions.
- Reliability Engineering Modeling — thermal analysis, fatigue life prediction, MTBF forecasting
- Digital Twins & Simulation — physics-based system modeling for failure prevention
- Industrial Data & Analytics — production risk, uptime forecasting, performance bottleneck analysis
- Mechanical Systems Engineering — manufacturing documentation, configuration control, and production validation
Multi-node thermal simulation engine modeling conduction, convection, internal heat generation, overload behavior, hot-spot detection, and thermal failure margin with parametric sensitivity analysis on:
- Load
- Cooling efficiency
- Ambient temperature
- Overload duration
➡️ Repo: https://github.com/YSayaovong/universal-thermal-digital-twin
Probabilistic mechanical life prediction using:
- Goodman & Miner’s Rule
- Weibull failure distributions
- MTBF and failure probability modeling
- Monte Carlo damage accumulation
Factory-scale production simulator for:
- Downtime forecasting
- Bottleneck probability
- Throughput modeling
- Preventive maintenance planning
Python • C++ • Numerical Simulation • Reliability Modeling • Monte Carlo Methods
Data Analysis • Linux • Git • GitHub • Matplotlib • SQL • Mechanical Systems
Building a reliability engineering portfolio centered on:
- Digital twin systems
- Predictive maintenance analytics
- Mechanical failure modeling
- Production performance forecasting
LinkedIn: https://linkedin.com/in/yengkongsayaovong
Mechanical & Systems Portfolio: https://ysayaovong.github.io/Portfolio
GitHub: https://github.com/YSayaovong