Apurv Padlia

Apurv Padlia is an experienced optimization engineer with a strong background in aeronautics and robotics. Currently at Summer Robotics, Apurv focuses on optimizing the calibration module of a vision stack using C++. Previous experience includes developing a controls and navigation stack for an electric VTOL drone at Stanford University's Aerospace Design Lab. At the Indian Institute of Technology, Kharagpur, Apurv contributed to multiple research groups, conducting aerodynamic analyses and participating in design competitions. Notable projects involved flow analysis using advanced programming languages and tools such as Python, C++, and XFLR5. Apurv’s academic credentials include a Master of Science in Aeronautics and Astronautics from Stanford University and a Bachelor of Technology in Aerospace Engineering from IIT Kharagpur.