My headshot!

Senior Engineer
Sony Stuttgart Technology Center

Stuttgart
Germany
GitHub
LinkedIn
narprasan@gmail.com

Senior Engineer at Sony Semiconductor Solutions Europe, specializing in the design and deployment of edge-optimized ML models and scalable training infrastructure for multimodal foundation models. I architect end-to-end ML pipelines—ranging from large-scale distributed pretraining to the optimization of complex models for resource-constrained edge devices using Python and PyTorch.

Featured Project: Developed a high-accuracy Plant Disease Classification System utilizing deep learning to automate agricultural health monitoring, featuring a streamlined documentation and deployment workflow.

Previously, as a Research Associate at the University of Bonn, I pioneered inverse rendering algorithms for the 3D reconstruction of transparent objects. I hold a PhD from IIT Madras, where my research focused on low-level computer vision, computational photography, and signal processing—specifically advancing coded-aperture photography and event-sensor integration for high-speed imaging.

My professional background is further bolstered by a Pre-doctoral Fellowship at Northwestern University and an internship at Samsung Research. Throughout my career, I have collaborated with leading researchers to solve complex vision problems, transitioning academic breakthroughs into production-ready AI solutions.

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Education

  • Joint MS+Ph.D. in Signal Processing
    Department of Electrical Engineering
    Indian Institute of Technology Madras
  • B.E. in Electronics, 2015
    Ramaiah Insitute of Technology, Bangalore, India

Certifications

  1. Received Agile Foundations certification from LinkedIn Learning in October 2024
  2. Received Business Writing certification from Coursera in December 2024
  3. Received Graphic Design certification from Coursera in August 2024

Achievements

  1. Winner of the Disoverer Award at Sony STC for the year 2025 for my contribution to multimodal foundation model development.
  2. Winner of the Qualcomm Innovation Fellowship India 2021. Competing against 95 teams from several premier Indian universities.
  3. Selected for Doctoral Consortium at the IEEE WACV 2021 where I was mentored by Dr. Amanda Fernandez, an assistant professor at UTSA.
  4. Secured a Research Travel Scholarship of USD 5000 from RBC-DSAI, IIT Madras to visit Dr. Oliver Cossairt at Northwestern University as a short-term visiting scholar.
  5. Secured internship at Samsung Research Institute, Bengaluru during the summer of 2018.
  6. One of the 20 finalists out of 95 competing teams across 7 premier Indian institutes in Qualcomm Innovation Fellowship India 2018. The 95 competing teams were from 7 different premier Indian institutes.
  7. Awarded travel grant of 1000 USD to attend IEEE International Conference on Image Processing 2017 by IEEE Signal Processing Society.
  8. Ranked 704 in the country in GATE 2016, attempted by over 150,000 students.

Talks and Miscellaneous

  1. Invited talk at SLIM group at Michigan State University and Computer Graphics lab at University of Bonn, on light-field video reconstruction
  2. Presented a online guest lecture for the students of Computer Graphics course (NUCS396) at the CS department of Northwestern University
  3. Reviewer for WACV (2021,2022); ICIP (2022); Siggraph Asia (2022)
  4. Presenting our light-field imaging for smartphones proposal to Principal Scientific Advisor, Govt. of India and Secretary for Ministry of Electronics and Information Technology, Govt. of India.

In the media

  1. Our work on light-field video reconstruction, SeLFVi, was recently featured in AlJazeera.in, ThePrint.in, TheFanPost.com, TechCircle.in, Dhinasari.com, and EduVoice.in.