I am a master's student specializing in Embedded Systems Engineering with a focus on Artificial Intelligence. Currently, I am pursuing my master thesis in the field of 3D Computer Vision, expected to complete by the start of October 2024. With over 2.5 years of work experience in agile software development, I have a strong background in Computer Vision, deep learning, and 3D Digital Image Correlation. Feel free to reach out to me for collaboration.

• Master Thesis Student

  • Institution: Generative Intelligence Lab, University of Freiburg
  • Duration: April 2024 - October 2024
  • Responsibilities:
    • Developing a neural mesh model for 3D generative representations to enhance pose estimation with robustness against partial occlusion and unseen poses.

• Teaching Assistant

  • Institution: University of Freiburg
  • Courses:
    • Algorithms and Complexity Chair (May 2024 - September 2024)
      • Topics: Sorting and Searching Algorithms, Core Data Structures, Algorithmic Techniques, Complexity Analysis.
    • System Control and Optimization Chair (October 2023 - February 2024)
      • Topics: Parameter Estimation, Optimality Conditions, Dynamic Systems Analysis, Nonlinear Least Squares.

• Research Assistant

  • Institution: LivMats, University of Freiburg
  • Duration: April 2023 - September 2023
  • Responsibilities:
    • 3D Digital Image Correlation in underwater setup.
    • Camera Calibration for stereo setup using OpenCV-Python.

• Software Engineer

  • Company: Bosch Global Software Technologies
  • Duration: September 2019 - March 2022
  • Responsibilities:
    • Worked on instrument cluster projects for German OEMs.
    • Developed test frameworks for continuous testing using Jenkins, Grafana, and vector tools.

• Working Student - Image Processing, Test Automation

  • Company: Siemens EDA
  • Duration: October 2022 - September 2023
  • Responsibilities:
    • Image verification of infotainment system display using image descriptor matching.
    • Test automation using Python and OpenCV.

• Master of Science in Embedded Systems Engineering (Artificial Intelligence)

  • Institution: University of Freiburg
  • Duration: April 2022 - Present
  • Thesis: Learning 3D object centric models using self-supervised features

• Bachelor of Technology in Electronics and Communication Engineering

  • Institution: Amrita School of Engineering
  • Duration: May 2015 - May 2019
  • Thesis: Design of an Autonomous Mobile Robot based on Sensor Data Fusion

• Python
• C++

• Git/Gerrit
• Rational JAZZ RTC
• Rational DOORS
• Jenkins
• Grafana

• Scikit-learn
• PyTorch
• Keras
• TensorFlow
• OpenAI Gym

• CAN
• Vector CANoe
• CAPL Scripting
• MATLAB & Simulink
• AUTOSAR
• Functional Safety ISO26262

• Open3D
• PCL
• PyTorch-3D
• Kornia
• OpenCV

• English: C1
• German: A2
• Tamil: Native

• Design of an Autonomous Mobile Robot based on Sensor Data Fusion (2019)
  • 9th International Conference on Advances in Computing and Communication

• Master Thesis: Learning Object Centric 3D models using self-supervised features (April 2023 - October 2024)
• Semantic Correspondence for Animal 3D dataset using Spherical Maps (June 2024)
• 3D Digital Image Correlation (April 2023 - September 2023)
• Task detection using VIT transformer descriptors (May 2023 - July 2023)
• Tree Species Segmentation using deeplabV3 architecture (2022)
• Functional Safety test framework creation (2020)
• Design of an Autonomous Mobile Robot based on Sensor Data Fusion (2017 - 2019)

• Email: [email protected]
• LinkedIn: linkedin.com/in/premnath-srinivasan-6ab1b5135
• GitHub: github.com/prem-16
• Personal Website: prem-16.github.io