Summary
Overview
Work History
Education
Skills
Awards
Publications
Patents
Volunteering
Timeline
Generic

Atchyut Gullapalli

Senior Aerodynamics Engineer
Bangalore

Summary

Highly accomplished Aerodynamics Engineer with a Master's degree in Aerospace Engineering from the Indian Institute of Technology Kanpur (High Performance Computing Lab), specializing in aerodynamics and CFD (Computational Fluid Dynamics). Proven expertise in optimizing vehicle performance and reducing drag. Led aerodynamic development for EQE and EQS facelifts, achieving significant performance enhancements through CFD optimization and wind tunnel testing. Demonstrated ability to collaborate cross-functionally and deliver impactful results. Passionate about driving innovation in the automotive industry. Proficient in CFD, AI, and data analytics, with a focus on developing cutting-edge methodologies.

Overview

8
8
years of professional experience
6
6
years of post-secondary education

Work History

Senior Aerodynamics Engineer

Mercedes Benz R&D
Bangalore
01.2021 - Current
  • Led aerodynamic development for EQE and EQS facelifts, achieving significant performance enhancements by reducing drag by 4% and 6%, respectively, through CFD optimization (using StarCCM+ and OptiSLang) and wind tunnel validation
  • Created a highly accurate (90%) CFD methodology for G-class vehicles, seamlessly integrating CFD and wind tunnel data for precise aerodynamic predictions
  • Orchestrated 21-hour wind tunnel testing campaigns for both EQE and EQS, encompassing benchmarking, data analysis, and presentation of results to senior leadership
  • Forged cross-functional collaboration, leveraging digital tools to deliver expert technical support and aerodynamic enhancements for vehicle programs
  • Developed and supervised a multi-physics team to create cutting-edge CFD methodologies, specializing in Fluid Structure Interaction with a 95% accuracy
  • Pioneered the application of AI in the CAE domain, leading multiple projects and securing a patent for a novel Physics informed neural network (PINNs) for turbulence modeling (98% accuracy)
  • Conceived and implemented a web-based data analytics tool based on real-time testing data, generating substantial cost savings of 100K Euros through enhanced testing strategies

Aerodynamics Engineer

Mercedes Benz R&D
Bangalore
10.2016 - 01.2021
  • Generated aerodynamic improvements for e-Actros, VS20, and H6 models through innovative design proposals and comprehensive CFD simulations, of which 8 parts were in production
  • Slashed 20 drag counts (~7% fuel efficiency increase) on the e-Actros by optimizing multiple components (side spoilers, roof spoiler, drive wheel fairings, and mirrors) using DOE and optimization techniques
  • Trimmed VS20 drag by 10 counts through full body shape optimization and global sensitivity analysis
  • Engineered and validated a robust transient CFD process for vans, ensuring accurate drag predictions with a maximum error of 5% compared to wind tunnel data
  • Analyzed CFD solver convergence data and meticulously optimized StarCCM+ physics settings to accelerate simulation time by 30%, enhancing productivity and efficiency

Education

Master of Technology - Aerospace Engineering

Indian Institute of Technology Kanpur
Kanpur, India
06.2014 - 05.2016

Bachelor of Technology - Aeronautical Engineering

MLR Institute of Technology
Hyderabad, India
06.2008 - 05.2012

Skills

Aerodynamics

Computational Fluid Dynamics (CFD)

Wind tunnel testing

Turbulence Modeling

Design of Experiments (DOE)

Shape Optimization

StarCCM

Ansa

Problem Solving

Process improvement

Machine Learning

Awards

  • Silver award, 01/25, For the contributions towards process improvement topics.
  • Silver award, 10/22, For significant improvement in CFD – Wind tunnel correlations and towards establishing Fluid-Structure Interaction method.
  • Star Performer of the Year, 10/19, Optimization method development for Truck and Van aerodynamics
  • Above and Beyond Call of Duty, 07/17, For developing 1D fuel tank prediction model


Publications

  • Prediction filling capacity of automotive fuel tank, 07/21, GT Global Conference
  • Reduced order model of flows by time-scaling interpolation of DNS data, 11/18, Advanced Modeling and Simulation in Engineering Sciences
  • Enstrophy-based proper orthogonal decomposition of flow past rotating cylinder at super-critical rotating rate, 09/16, Physics of Fluids


Patents

  • System and method for adjusting roof spoiler of a vehicle - Patent, 01/24
  • Thermal Based protruding tailpipe to mitigate heating of Rear Bumper - Patent, 07/24
  • Self protruding tailpipe to mitigate heating of Rear Bumper - Patent, 07/24

Volunteering

Reviewer for Physics of Fluids

AIP Publishing

March 2017 - Present

Timeline

Senior Aerodynamics Engineer

Mercedes Benz R&D
01.2021 - Current

Aerodynamics Engineer

Mercedes Benz R&D
10.2016 - 01.2021

Master of Technology - Aerospace Engineering

Indian Institute of Technology Kanpur
06.2014 - 05.2016

Bachelor of Technology - Aeronautical Engineering

MLR Institute of Technology
06.2008 - 05.2012
Atchyut GullapalliSenior Aerodynamics Engineer