Vivek Tanjavooru
Doctoral Candidate
Munich, Bavaria, Germany
Summary
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Senior🎓
Top SchoolVivek Tanjavooru is a PhD candidate at TUM and an energy systems researcher with nine years' experience applying reinforcement learning, MPC and optimization to battery systems and powerplant integration. He leads projects at Forschungszentrum Allgäu developing modular AI-driven BESS strategies that balance availability and degradation, and his background spans CFD and multi-physics simulation tools—from OpenFOAM solver development to custom Flow3D and MATLAB integrations. Prior industry roles in petrochemical maintenance and oil & gas gave him hands-on systems engineering and operational rigor, while academic work includes validated numerical tools for binder infiltration in 3D printing and mesh/flow studies for turbomachinery. He combines practical plant-level experience with advanced control and ML methods, and routinely builds automation and visualization pipelines (ParaView/Python) to turn complex simulations into actionable insights.
9 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree, Mechanical Engineering, 8.2, Bachelor’s Degree, Mechanical Engineering, 8.2 at Indian Institute of Technology, GuwahatiMaster's degree, Power Engineering, 1.9, Master's degree, Power Engineering, 1.9 at Technical University MunichDoctor of Philosophy - PhD, Battery Systems and Control, Doctor of Philosophy - PhD, Battery Systems and Control at Technical University of Munich
English, Hindi, Telugu, German, Gujarati
Github Skills (53)
user-location10
expert9
hashtag9
theano9
voice8
formatted-text8
scrape8
location8
style-transfer8
merlin8
water8
listener8
twitter-streaming-api8
relationship8
describe7
Programming languages (3)
Github contributions (5)
vivek-sethia/praat-notebooks
Apr 2018 - Apr 2018
Contributions:2 pushes, 1 branch in 1 day
vivek-sethia/learn-private-module-root
Jan 2021 - Jan 2021
Contributions:2 pushes in 1 day
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