Sayantan Auddy

Postdoctoral Researcher at Technische Universität Berlin

Berlin, Germany
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Summary

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Senior
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Top School
Sayantan Auddy is a Berlin-based postdoctoral researcher with 11 years of experience at the intersection of machine learning, robotics, and computer vision, currently leading research at Technische Universität Berlin. He holds a PhD in Computer Science from Leopold-Franzens Universität Innsbruck and an MS in Intelligent Adaptive Systems from the University of Hamburg, bringing strong academic rigor to applied research. His background spans deep learning software development for computer vision, scientific software packaging with CMake, and earlier data-warehouse engineering—illustrating fluency from low-level build systems to high-level ML models. Colleagues value his ability to translate research prototypes into reproducible tools and utilities that accelerate group workflows. Notably, his career trajectory blends industry-grade engineering practices from firms like Infosys and Capgemini with sustained academic contributions, making him adept at bridging production constraints and cutting-edge research.
code11 years of coding experience
job12 years of employment as a software developer
bookMaster of Science - MS, Intelligent Adaptive Systems, 1.21 (on a scale of 1.0 -5.0 with 1.0 being the best), Master of Science - MS, Intelligent Adaptive Systems, 1.21 (on a scale of 1.0 -5.0 with 1.0 being the best) at University of Hamburg
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Leopold-Franzens Universität Innsbruck
bookB.Tech, Computer Science & Engineering, 8.8 GPA, B.Tech, Computer Science & Engineering, 8.8 GPA at Haldia Institute of Technology
languagesEnglish, German, Bengali, Hindi
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Stackoverflow

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11reputation
401reached
1answer
1question
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Github Skills (33)

deep-reinforcement-learning8
segmentation8
robotics8
machine-learning7
image-segmentation7
python7
computer-vision6
image-augmentation6
ros6
slam-algorithms6
deep-learning6
mnist6
caffe6
image-processing6
object-detection5

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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Contributions:10 commits, 63 pushes, 1 branch in 9 months
sayantanauddy/clfd

Feb 2022 - Nov 2022

Code for the paper Continual Learning from Demonstration of Robotic Skills
Contributions:33 commits, 15 pushes, 1 comment in 9 months
roboticscontinual-learningdatasetdeep-learninglearning-from-demonstration
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