Ansys
Hari Kishan
CAE Engineer
Chennai
Summary
Mechanical Engineer with 5 years of experience in Computer-Aided Engineering (CAE) - Finite Element Analysis (FEA), and manufacturing process simulation for automotive components. Strong background in durability evaluation, virtual product validation, and simulation-driven design. Experienced in MATLAB-based modeling, workflow automation, and data-driven optimization. Applied AI methods including Physics-Informed Neural Networks (PINNs) and Artificial Neural Networks (ANNs) to accelerate simulations and improve prediction accuracy. Proven record of reducing simulation time, prototyping effort, and engineering cost.
Overview
5
5
years of professional experience
2
2
Languages
Work History
CAE Engineer
Valeo India Private Limited
Chennai
12.2020 - Current
CAE-Durability
- Performed FEA-based evaluation of automotive powertrain components for performance and failure conditions.
- Assessed durability and life prediction under operational loads, using simulation-driven validation.
- Supported design decisions through virtual testing and performance analysis.
Manufacturing Process Simulation.
- Simulated stamping, forging, welding, riveting, press fitting, and forming processes.
- Reduced physical prototyping requirements by 50% through virtual process validation.
- Linked manufacturing simulation results with product performance models.
AI-Driven Simulation Development.
- Developed Physics-Informed Neural Network (PINN) models in MATLAB for physics-based prediction of structural behavior.
- Reduced simulation time by 40% while maintaining prediction accuracy.
- Built ANN models to predict material stress–strain behavior using minimal test data, reducing testing costs by 30%.
Design Optimization.
- Conducted Design of Experiments (DOE) studies for parameter optimization and design robustness improvement.
- Applied data-driven methods to enhance engineering performance and reliability.
MATLAB Automation.
- Developed scripts to automate simulation setup, execution, and post-processing.
- Reduced manual engineering effort by 60%.
Education
M.Tech - Design Engineering
BITS PILANI
Pilani, India 04.2001 -
Skills
CAE Simulation: FEA, Durability Prediction, Failure Evaluation, Virtual Testing
Manufacturing Simulation: Stamping, Forging, Welding, Forming
AI Methods: PINNs, ANNs, Predictive Modeling
Engineering Methods: DOE, Optimization, Material Modeling
Stress analysis
Accomplishments
- Developed Physics-Informed Neural Network (PINN) models for physics-based structural prediction.
- Reduced simulation runtime by 40% while maintaining prediction accuracy.
- Built ANN models to predict material behavior from limited test data, reducing testing cost by 30%.
- Developed data-driven models to estimate stress–strain behavior for engineering materials.
- Improved material characterization efficiency for simulation workflows.
AI-Based Simulation Acceleration
Material Modeling & Prediction
Software
Hypermesh
Coldform-FORGE
InspireForm
AutoForm
Abaqus
MATLAB
Simufact Welding/Forming
Inspirecast
Timeline
CAE Engineer
Valeo India Private Limited
12.2020 - Current
M.Tech - Design Engineering
BITS PILANI
04.2001 -
Languages
Tamil
Bilingual or Proficient (C2)
English
Bilingual or Proficient (C2)