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Bragadesh Srivatsan

Angestellt, Intern, Bosch Gruppe
Student, Computational Mechanics of Materials and Structures, University of Stuttgart
Stuttgart, Germany

Skills

FEM
Python
Machine Learning
HyperMesh
ANSYS
ANSA
Deep Learning
MySQL
MatLab
Material Science

Timeline

Professional experience for Bragadesh Srivatsan

  • Current 3 years, since May 2022

    Intern

    Bosch Gruppe

    As an intern in the digitization and innovation team: - Working on the development of software for data-sensing and data-acquisition of stresses in GPUs - I4.0 development - Fatigue evaluation of GPU's Ball Grid Array solder joint, using FE simulations and Machine Learning Skills acquired: - Working with SQL to create, retrieve and update data in a database built from experiments

  • 6 months, Nov 2021 - Apr 2022

    Master Thesis Student

    Bosch Gruppe

    Thesis topic: Solder Joint Fatigue Prediction under Dynamic Loading using Random Forests and LSTMs Skills acquired: -Employing python scripts to write ANSYS macros for input-output, data manipulation, visualization, regression, and time-series models -Working with libraries like TensorFlow, sci-kit learn, Numpy, and pandas -Conducting thermo-mechanical simulations of the QFN model in ANSYS APDL -Collaborated with ANSYS to develop a twin model for solder joint fatigue with ANSYS Twin Builder

  • 8 months, May 2021 - Dec 2021

    Studentische Aushilfskraft

    Institut für Flugzeugbau (IFB)

    As a student assistant in IFB: - Engaged in replacing the ordinary Von-mises yield surface material with MAT_SAMP material in LS-Dyna for matrix for a statistical volume element of carbon fiber composite - Conducted coupon test simulations in tension, compression, and shear for material characterization - Modified ANSA scripts to define, assign and simulate the new material models in SVE Skills: LS-DYNA · ANSA

  • 6 months, Apr 2021 - Sep 2021

    Studentische Aushilfskraft

    Institut für Materialprüfung, Werkstoffkunde und Festigkeitslehre (IMWF)

    As a student assistant in IMWF: - Simulated three-point bending with cohesive zone modeling for rupture in Salome-meca - First-hand experience in FE rupture and cohesive zone modeling Skills: Salome-meca · FE Rupture Simulation

  • 6 months, Oct 2020 - Mar 2021

    Studentische Aushilfskraft

    Institute for Modelling and Simulation of Biomechanical Systems (IMSB)

    As a student assistant in IMSB: - First-hand experience with THUMS human body model and LS-Dyna - Literature research Skills: Literature Reviews · LS-DYNA · Hypermesh

  • 7 months, Mar 2020 - Sep 2020

    Studentische Aushilfskraft

    HLRS - High-Performance Computing Center Stuttgart

    As a student assistant in HLRS: - Designed a model of HLRS in Siemens NX and conducted an OpenFoam simulation of wind around the model - First-hand experience with CFD and OpenFoam Skills: OpenFOAM · Siemens NX

  • 2 years and 9 months, Nov 2016 - Jul 2019

    Modeler

    Detroit Engineered Products

    Skills acquired: - In-depth pre-processing techniques with Hypermesh and ANSA - Ability to manage team and workflow within the team - Experience in assembly management and CAD Study in Siemens Vismockup - Estimate hours for each assembly to ensure on-time delivery

Educational background for Bragadesh Srivatsan

  • Current 5 years and 7 months, since Oct 2019

    Computational Mechanics of Materials and Structures

    University of Stuttgart

    - With the main focus on Numerical methods for FEM, Nonlinear modeling of Materials, Geometry, and contacts. - Pursued courses in data processing and Artificial Intelligence to broaden my skill set. - Completed additional online courses via Coursera and Udemy to improve skill sets.

  • 3 years and 9 months, Aug 2012 - Apr 2016

    Mechanical Engineering

    Anna University

    - Graduated with distinction - Acting captain of SAE competition (BAJA), - Learnt about the assembly line and production through in-plant training in Hyundai, Ashok Leyland, and Maruthi service masters - Bachelor thesis topic: Study of Characteristics of Hydrogen Boosted Internal Combustion Engine

Languages

  • English

    Fluent

  • German

    Intermediate

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