Sai Siddhartha Muppana

About Sai Siddhartha Muppana

With over three years at General Motors, I specialize in optimization and machine learning applications to enhance design processes. My work focuses on exploring design spaces using generative models and developing predictive models with deep learning for performance analysis in various components. Committed to advancing engineering solutions, I collaborate on workflows for multi-physics simulations. My expertise in multi-disciplinary optimization, machine learning and generative modeling (AI) underpins my contributions to innovative product development.

Experience

1. Cae Optimization Engineer - Advanced Method Development

   General Motors

   Jul 2022 — Present · Warren, MI, US

   Working as CAE engineer to help design engineers explore and improve designs using optimization, machine learning. • Exploring design space using generative models (VAEs) for chassis frame to guide design engineer with a frame design options for a given frame mass• Built fast running models to perform predictive analysis using LSTM, GRU, regression methods for stress analysis of seat-foam different materials, electro-mechanical losses for electric motor designs• Optimized rotor features using novel design process and surface notches that reduced noise by more than 20dB and improving efficiency by 0.3%• Build workflows integration for multi-physics simulations through collaborating with cross-functional teams

Education

• University of Cincinnati

  Master of Science (M.S.), Aerospace, Aeronautical and Astronautical Engineering

  2013 — 2018

• Jawaharlal Nehru Technological University

  Bachelor of Technology (B.Tech.), Mechanical Engineering

  2008 — 2012