Abhishek Dandekar

Research Associate

Berlin, Germany
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Summary

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Senior
🎓
Top School
Abhishek Dandekar is a research-focused software engineer and innovator currently a Research Associate at Fraunhofer Heinrich Hertz Institute in Berlin, applying SDN, 5G, and ML orchestration to next-gen networks. He holds dual MSc degrees in ICT Innovation from TU Berlin and KTH Stockholm, together with cross-border programs including EIT Digital and a Summer School in smart cities. With a decade of experience spanning IIT Bombay, Ericsson, and Fraunhofer, he built SDN-controlled multi-RAT networks, contributed to IEEE and ITU standardization, and holds a patent on SDN-based control of multi-RAT networks. His early work on 5G for rural India used softwarised WLANs to extend connectivity, blending research rigor with real-world impact. At Fraunhofer HHI, his Masters Thesis explored intent-based ML orchestration and distributed federated learning pipelines, demonstrating scalable cross-domain orchestration in emulated testbeds. Based in Berlin, he combines academic depth with hands-on network engineering and a drive to translate standards and research into deployable systems.
code11 years of coding experience
job2 years of employment as a software developer
bookTechnische Universität Berlin
languagesEnglish, Marathi, Hindi, German
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Github Skills (28)

python6
science5
ncclient5
cryptography5
pytorch5
secure-computation4
machine-learning4
privacy-enhancing-technologies4
privacy4
deep-learning4
federated-learning4
opendaylight3
pandas3
netconf3
data-science3

Programming languages (2)

JavaScriptPython

Github contributions (5)

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abh15/flower

Nov 2020 - Dec 2021

Flower - A Friendly Federated Learning Framework
Contributions:11 pushes in 1 year 1 month
federated-learning-frameworkmachine-learningflowerframework-learningfederated-learning
ITU-build-a-thon/demo-2021

Dec 2021 - Dec 2021

Contributions:8 commits, 8 pushes, 1 branch in 14 days
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Abhishek Dandekar - Research Associate