Varun Gowtham
Senior Machine Learning Engineer at Fraunhofer FOKUS
Berlin Metropolitan Area Germany
Summary
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Senior🎓
Top SchoolVarun Gowtham is a Senior Machine Learning Engineer and research lead with a decade of experience applying AI and graph‑ML to autonomous, intent‑based networking for 6G‑ready systems. He has designed lightweight KG‑based Transformer architectures and graph neural pipelines (e.g., KG‑GPT prototypes with ~30M parameters and sub‑100ms inference) to enable distributed, resource‑efficient network management. At Fraunhofer FOKUS he co‑founded and led the NEMI project to an L3 autonomous management prototype, influenced standards at the EU/German level, and cut operational complexity via digital twin frameworks. His background spans academia and industry—from TU Berlin research and supervising PhD students to hands‑on telecom engineering at Deutsche Telekom and Gemalto—giving him rare depth across theory, prototyping, and production. Based in Berlin, he is completing doctoral work in networking and is skilled at translating heterogeneous network knowledge into compact, fast inference models that sidestep brute‑force LLM scaling.
10 years of coding experience
7 years of employment as a software developer
Master’s Degree, Master’s Degree at EIT Digital Master SchoolMaster’s Degree Computer Science, Master’s Degree Computer Science at Università di TrentoBachelor’s Degree Electronics and Communications Engineering, Bachelor’s Degree Electronics and Communications Engineering at Visvesvaraya Technological UniversityDoctoral Candidate Computer Systems Networking and Telecommunications, Doctoral Candidate Computer Systems Networking and Telecommunications at Technische Universität Berlin
English, German, Kannada
Github Skills (2)
latex1
elasticsearch1
Programming languages (3)
Github contributions (5)
elastest/elastest-device-emulator-service
Aug 2017 - Jan 2020
The main goal of this service is to emulate behaviors of sensors, actuators and smart devices which is suitable for ElasTest platform. This service shall enable the creation of device models suitable for exposing the appropriate interfaces and behavior.
Contributions:157 commits, 5 PRs, 126 pushes in 2 years 5 months
behaviorssmart-devicessensorsgoalemulate
varungowtham/eds
Feb 2019 - Oct 2019
Contributions:62 pushes in 7 months
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