Akhil Pillai

Praktikum, Master Thesis, SCALE GmbH

Student, Advanced Computational and Civil Engineering Structural Studies (ACCESS), TU Dresden

Ingolstadt, Deutschland

Fähigkeiten und Kenntnisse

Python
Machine Learning
Computational Engineering
Mechanical Engineering
Finite Element Analysis (FEA)
Linux
Pam-Crash
LS-Dyna
Crash Simulations
Simulation Data Management
IT affinity

Werdegang

Berufserfahrung von Akhil Pillai

  • Bis heute 5 Jahre und 6 Monate, seit Nov. 2018

    Master Thesis

    SCALE GmbH

    Parameter estimation for spot weld design in automotive construction using Deep Learning

  • 6 Monate, Apr. 2018 - Sep. 2018

    Intern

    SCALE GmbH

    - Implemented sensors in crash simulation models - Compared sensor data with NHTSA crash test data for Yaris model - Automated scripts to generate Reports using simulation data from SDM (LoCo) and Crash test data - Conversion of mesh data to CAD data using FreeCAD and ANSA - Extraction of Spot weld parameters from FEM data

  • 4 Monate, Jan. 2018 - Apr. 2018

    Werkstudent

    TU Dresden, Institut für Baukonstruktion

    -Ansys simulations for glass structures -Technical image generation using Adobe Illustrator

  • 6 Monate, Nov. 2017 - Apr. 2018

    Werkstudent

    Lagerwerk Gmbh

    - Research and pre-process technical product data for website - Support in researching technical products - Support in Logistics and Warehousing

  • 1 Jahr und 2 Monate, Juni 2014 - Juli 2015

    Assistant Manager

    CEAT Tyres

    Key Responsibilities: - Planning and execution of Erection and Commissioning of Radial Tire Manufacturing equipments. - Review Project Activities and prepare Testing and Operational reports. - Execution of work at minimum cost without wastage of materials and labor. - Maintenance and Management of respective Departmental files.

  • 2 Monate, Mai 2013 - Juni 2013

    Research Intern

    Bhabha Atomic Research Center, India

    - Practical Training with CNC machines, various techniques of machining, foundry, heat treatment, process planning, inspection and Quality Control - Exposure to fine assembly and Design & Development work

Ausbildung von Akhil Pillai

  • Bis heute 7 Jahre und 7 Monate, seit Okt. 2016

    Advanced Computational and Civil Engineering Structural Studies (ACCESS)

    TU Dresden

    -Machine learning & Artificial Intelligence -Numerische Methoden (Numerical Methods) -Mehrskalenmethoden (Multiscale Mechanics)

  • 3 Jahre und 11 Monate, Juni 2010 - Apr. 2014

    Mechanical Engineering

    Cochin University of Science and Technology

    -Engineering Mathematics -Engineering Mechanics -Engineering Design -Production Technology

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

Interessen

Fitness
Football
Cooking
Reading

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