Multi-camera CalibrationDeveloped a 3D Reconstruction pipeline within the Intel RealSense framework leveraging OpenCV and Open3d. Achieved an 80% convergence rate for point cloud coarse registration solely through the chessboard calibration method • Implemented camera calibration, feature extraction, and point cloud processing algorithms to generate accurate 3D models. Achieved a 30% reduction in calibration error by optimizing algorithms for lower resolution inputs • Evaluated object dimensions post-reconstruction, attaining an error rate below 7% for accurate modelling • Conceptualized and accomplished coarse registration using SIFT algorithm as well for the same 4-depth camera configuration

• Translated Aerospace blade designs into manufacturable instructions, utilizing G-codes and M-codes for precision CNC machining • Engineered mechanical components with Solid Edge and CATIA, resulting in a 20% reduction in design cycle time and improved product quality