Mission: To design robust, intelligent systems where hardware and intelligence co-evolve - enabling the physical foundations of tomorrow’s smart machines. What I Do: I build the systems AI and robotics depend on -from high-performance ADAS compute and sensor modules to robotics platforms powered by edge intelligence. My work bridges simulation, mechanical design, and real-world system reliability - where physics meets intelligence. Current Focus: • Leading mechanical design, simulation, and vehicle integration for ADAS cameras and LiDAR • Driving thermal and structural analysis for sensor systems in collaboration with suppliers • Developing multiphysics simulation models for full-system validation ADAS Compute & Reliability Engineering: • Designing and analyzing ADAS ECUs, including: • Thermal, structural, vibration, and fatigue simulation • FME(D)A, worst-case circuit analysis, SI/PI validation • Performing EMC and shielding effectiveness simulations • Collaborating with contract manufacturers on prototyping, DFM, and system validation Advanced Simulation & Sensor Cleaning: • Building CFD models (VOF & DoM) for camera/LiDAR cleaning • Simulating fluid-thermal interactions for real-world use cases • Exploring digital twins and physics-informed ML for predictive performance ⸻ Side Projects & Technical Hobbies: • Designing robotic arms and mobile platforms with Raspberry Pi + AI models • Deploying real-time CV models for gesture, object detection, and control • Creating compact simulation tools to support AI at the edge ⸻ Core Strengths: • ADAS system design & compute integration • Signal/Power integrity | EMC • CFD for sensor cleaning systems • Robotics + embedded AI • Supplier collaboration | DFM | Integration • Digital twins | Physics-informed machine learning