ARKA BHOWMICK

Software Engineer and R&D at BIT Technology Solutions GmbH
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Contact Information
us****@****om
(386) 825-5501
Location
Munich, Bavaria, Germany, DE
Languages
  • English Full professional proficiency
  • German Limited working proficiency
  • Hindi Full professional proficiency
  • Bengali Native or bilingual proficiency
Skills

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Credentials

  • Machine Learning Data Lifecycle in Production
    Coursera
    Nov, 2021
    - Nov, 2024
  • ICIP 2021 Certificate of attendance
    IEEE Signal Processing Society
    Sep, 2021
    - Nov, 2024
  • Foundations: Data, Data, Everywhere
    Coursera
    Jun, 2021
    - Nov, 2024
  • Prepare Data for Exploration
    Coursera
    Jun, 2021
    - Nov, 2024
  • Mathematics for Machine Learning: Multivariate Calculus
    Coursera
    Jan, 2021
    - Nov, 2024
  • Mathematics for Machine Learning: Linear Algebra
    Coursera
    Nov, 2020
    - Nov, 2024
  • Convolutional Neural Networks
    Coursera
    Jun, 2020
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    May, 2020
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera
    May, 2020
    - Nov, 2024
  • Structuring Machine Learning Projects
    Coursera
    May, 2020
    - Nov, 2024
  • Training Certificate
    Bharat Sanchar Nigam Limited
  • Training Certificate
    Airports Authority of India

Experience

  • BIT-TS
    • Germany
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Software Engineer and R&D
      • Apr 2020 - Present

      - R&D in the domain of generative AI for Synthetic data production for training autonomous system (focus on 3D assets creation)- Development of Data Production Pipeline (from 3D scene generation to automated Quality analysis)- Development of software module for seamless integration of automotive open standard, Open Scenario, into the data generation process.- Developed tooling for the integration of ros2 format data delivery in the production pipeline.- Programming Language : Python, C++, Bash, Docker- Operating System : Linux Show less

    • Working Student and Master Thesis
      • Jul 2019 - Mar 2020

      -Face texture generation with deep generative networks for 3D modelling of pedestrians.-Machine Learning-Deep Learning-Computer VisionA short description of my thesis:- In today’s scenario to develop autonomous driving systems it is very important to first train and test the autonomous system through a simulator. To replicate real life scenarios the simulator should thrive to create the simulation graphics as life like as possible. One of the most important aspect of a simulation environment are the pedestrians. The modelling of the pedestrians should be as accurate as possible, so that the autonomous systems can recognize a human being to the highest accuracy as possible to avoid any mishap. Hence my part of the project is to generate textures that will be wrapped on a 3D facial model which will then be a part of a complete 3D model.Challenges:-1. The main challenge is the unavailability of dataset. As there are no texture dataset available, the foremost challenge was to create a dataset from the limited resources available and then try to train the network with the limited number of data.2. The other challenge is to create variations as much as possible. And not just random variations. The variations should be based on some conditions. Like generating textures with only black hair, brown hair, narrow face, wide face, etc.3. Devising methods to assess the Degree of Realism obtained for the generating texture.4. Generate the texture based on the UV map of the 3D facial model.5. Devising methods to perform Variational Analysis of the Generated textures.6. Finally wrapping the texture on the 3D model. Show less

  • fortiss
    • Germany
    • Research Services
    • 100 - 200 Employee
    • Working Student
      • Mar 2018 - Jun 2019

      -Designing a tool to make design of manufacturing components more intuitive using Unity Game Engine. -Responsible for parsing AutoML files and visualizing components into Unity using C# and .NET. -Designing a tool to make design of manufacturing components more intuitive using Unity Game Engine. -Responsible for parsing AutoML files and visualizing components into Unity using C# and .NET.

  • Cognizant
    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Engineer Trainee
      • Nov 2016 - Apr 2017

      -Infrastructure Support -Testing of Applications like Skype for Business, WebEx, etc -Infrastructure Support -Testing of Applications like Skype for Business, WebEx, etc

Education

  • Technical University of Munich
    Master of Science, Communications Engineering
    2017 - 2020
  • Maulana Abul Kalam Azad University of Technology, West Bengal formerly WBUT
    Bachelor's degree, Electrical, Electronics and Communications Engineering
    2012 - 2016
  • Sunrise (Eng. Med) School
    Indian School Certificate Examination, Science
    2010 - 2012
  • Don Bosco School
    ICSE, General
    1999 - 2010

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