Staff Performance Engineer | Physics-Based Modeling & Algorithm Development
🌞 PV Systems | 🚗 Automotive Safety | 🚀 Aerospace Engineering

Mechanical Engineer with 15+ years developing physics-based algorithms and computational models for:

• ☀️ Photovoltaic system performance modeling (current role at Maxeon Solar Technologies)
• 🛡️ Automotive safety systems (10 years at ZF Active & Passive Safety)
• ✈️ Aerospace control systems (graduate research at University of Michigan)

• 1M+ vehicles deployed with my production safety algorithms
• 500+ MW of solar capacity analyzed with my performance models
• 6 granted US patents in vehicle safety systems
• 6 publications with 30+ citations
• 2 open-source packages for PV Performance Modeling research community

Languages

Libraries & Frameworks
NumPy | Pandas | Scikit-learn | PVLib | Shapely | Matplotlib | Plotly

Tools & Platforms
Git/GitHub | Simulink | Dash | LaTeX | CATIA V5 | JMP

Core Competencies
Multi-physics modeling | Algorithm development | Statistical analysis | Machine learning | Optimization | Sensor fusion

Vectorized version of SunPower's PVMismatch using dynamic programming

• Physics-based electrical shade model for PV systems
• Integrated with Shapely for 3D geometric algorithms
• Tech: Python, NumPy, Shapely

ArcGIS Story Map analyzing tiger population recovery patterns

• Spatial and temporal analysis of conservation success (2006-2022)
• GBIF biodiversity data + WDPA protected areas
• Tech: Python, ArcGIS, GeoPandas

Physical and electrical shade model using Shapely and PVMismatch

• Validated across 200+ field installations (R² > 0.95)
• 10x performance optimization using caching
• Tech: Python, PVLib, Shapely

• 📚 PV Physics-based Performance models.
• 📚 Machine learning and optimization applications in renewable energy
• 🌱 Wildlife conservation & GIS analysis

• 💼 LinkedIn
• 📧 kbsub@umich.edu
• 🎓 Google Scholar
• 📍 San Francisco Bay Area