Aliakbar S.

Background

About Aliakbar S.

I am an accomplished Senior Engineer with 8 years of diverse experience in the automotive industry, specializing in AI/ML-driven process improvements, vehicle dynamics, and EV concept development. Over the last 6 years, I've played a key role in leading method development at Mahindra & Mahindra, driving innovation in Crash, Durability, and CFD domains. My work includes optimizing CAE simulations using machine learning, significantly reducing time and costs while achieving high prediction accuracy. I have successfully developed and appli d AI/ML to predict critical pedestrian DVPs like Head injury criteria and pedestrian lower leg, contributing to safer and more efficient vehicle designs. I am also experienced in EV motor sizing, battery modeling, and simulation scenario development for ADAS systems. I have a proven track record of improving productivity through automation, including in-house vehicle calibration tools and OBD error code extraction processes, streamlining operations and enhancing team efficiency. My proficiency spans across Python, MATLAB, ANSA, and Hypermesh, among other tools, and I take pride in mentoring teams and ensuring seamless integration of cutting-edge technologies in ongoing projects. In technical lead in AIML development, managing resources, implementation of upcoming technology. Execution of various ML projects in Automotive Cae and testing domain.Well versed with data analysis, evaluation metrics and modelling.