Representative Work
Edit these placeholders with client-approved details, diagrams, field plots, and quantified outcomes.
Challenge: A technical team needed a flexible way to model EM behavior beyond standard point-and-click tools.
Solution: Developed a Python-based workflow for geometry, meshing, field solving, and visualization.
Result: Faster technical iteration and clearer design tradeoff analysis.
Challenge: Evaluate a high-power electromagnetic approach for extreme geothermal drilling conditions.
Solution: Analyzed system physics, power delivery, propagation, and thermal constraints.
Result: Technical feasibility insight for a high-risk, high-reward energy concept.
Challenge: Diagnose and improve performance in RF, microwave, or antenna-related systems.
Solution: Combined EM modeling, circuit intuition, measurement planning, and engineering review.
Result: Practical recommendations for design improvement and risk reduction.
Challenge: Use image or spectral data to classify physical objects or detect defects.
Solution: Built machine-learning and computer-vision workflows connected to measurement data.
Result: Prototype-level decision support for future product development.
