Arunย Prabhu
Senior Software Engineer at Tensordyne
Munich, Bavaria, Germany
Summary
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Top SchoolArun Prabhu is a Senior Software Engineer with 8+ years of experience specializing at the intersection of embedded systems, computer vision and deep learning. He combines nearly four years of low-level device-driver and embedded software development with five years of designing and deploying CV and generative AI models on resource-constrained hardware like Jetson and Coral. His work spans industrial R&D and product-focused engineering at organizations including Bosch, Fraunhofer IAIS and Tensordyne, where he now evaluates generative models and quantization strategies across speech, image and LLM families. Trained in autonomous systems and practiced in systematic research, he routinely blends 3D vision, model compression and neural architecture search to make cutting-edge models run efficiently at the edge. Comfortable presenting to global audiences and working in distributed international teams, he brings both hands-on implementation skills (C/C++, Python, ROS, TensorRT, ONNX) and a researcher's rigor to production-grade ML solutions.
8 years of coding experience
10 years of employment as a software developer
Master of Autonomous Systems Robotics AI Machine Learning Deep Learning , Master of Autonomous Systems Robotics AI Machine Learning Deep Learning at Bonn-Rhein-Sieg University of Applied SciencesBachelor of Engineering (BE) Electrical Electronics and Communications Engineering, Bachelor of Engineering (BE) Electrical Electronics and Communications Engineering at Visvesvaraya Technological University
Stackoverflow
11reputation
123reached
1answer
0questions
Github Skills (26)
representation-learning10
apc9
self-supervised-learning9
tera8
speech7
regression7
audio7
segmentation6
speech-synthesis6
pytorch6
speech-recognition5
object-detection5
deep-learning5
synthesis5
siggraph4
Programming languages (4)
Github contributions (5)
DRealArun/squeezeDet
Sep 2019 - Nov 2020
This repository contains the code accompanying the work titled ''An investigation of regression as an avenue to find precision-runtime trade-off for object segmentation''.
Contributions:61 commits, 6 PRs, 46 pushes in 1 year 2 months
pytorchinvestigationregressiondeep-learningruntime
DharminB/ECTA_group
Apr 2018 - Jul 2018
evolutionary computation theory and application semester 2 MAS
Contributions:59 PRs, 40 pushes, 20 branches in 2 months
computationevolutionary-computationsemestersemester-2theory
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