Amit Regmi

Amit Regmi is a result-oriented individual with extensive project leadership experience and a unique blend of technical and business skills.

He has a diverse knowledge base spanning CAE/CAD/CAM, Simulation/Physics/Mathematics, Parallel Computing/Visualization/Virtual Reality, and Robotics/Feature Recognition/Pattern Recognition/Machine Learning/Deep Learning.

In terms of technical specialties, Amit excels in CAD API Automation with tools like CATIA, AutoCAD, SolidWorks, and more, as well as in CAE Software like ANSYS and Fluent, among others.

His expertise also extends to CAM API Automation, where he has knowledge of CAMWorks, SheetMetal, and G Code & M Code, along with proficiency in programming languages such as FORTRAN 95, C/C++, Python, and more.

Amit's algorithm specialties include Machine Learning techniques like Support Vector Machine and Deep Learning methods such as Convolution Neural Networks and Auto-Encoder.

He is well-versed in Mesh Free Algorithms like Smooth Particle Hydrodynamics and Analysis Specialties such as SPH/MPS Methods, Thermal Analysis, and Data Analysis.

Moreover, his manufacturing specialties cover areas like Semi-Solid Forging, Injection Molding, and Gravity Casting.

Amit pursued his Bachelor of Engineering in Mechanical Engineering at the Institute of Engineering, Tribhuwan University, Nepal, and his Higher Secondary Education at Capital College and Research Center in Kathmandu, Nepal.

He also completed his School Leaving Certificate in Physical Sciences at Shanti Sudha English Boarding School in Dang, Nepal, and pursued a PhD (dropped out) in the Department of System and Innovation at The University of Tokyo.

In terms of professional experience, Amit has held roles such as Visiting Scholar at Carnegie Mellon University, Research Engineer at MISUMI Group Inc., and Chief Technical Leader at E&T Co. Ltd., where he also served as a Project Leader focusing on CAD/CAE.