Moomal Qureshi
Machine Learning Engineer at INSA
Berlin, Germany
Summary
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Rockstar🎓
Top SchoolMoomal Qureshi is a Machine Learning Engineer and PhD candidate based in Berlin with seven years of experience bridging signal processing, computer vision, and high-performance computing. Her current research focuses on non-intrusive load monitoring for energy-efficient smart buildings, tackling unsupervised approaches that reduce deployment friction in real-world settings. With a background spanning computer engineering, a master's in computer systems with AI and vision emphasis, and ongoing doctoral work at INSA Lyon, she blends rigorous research methods with practical engineering. An experienced instructor and collaborator, she enjoys sharing knowledge and thrives in energetic, cross-disciplinary teams. Notably, her profile reflects a rare combination of HPC-savvy implementation skills and applied ML research aimed at tangible sustainability outcomes.
7 years of coding experience
Bachelor in Computer Engineering, Bachelor in Computer Engineering at Univeristy of Engineering and Technology, Taxila, PakistanMasters in Computer System Engineering, Computer vision, Aritifical Intelligence, Masters in Computer System Engineering, Computer vision, Aritifical Intelligence at Ghulam Ishaq Khan Institute of Engineering Sciences and TechnologyDoctor of Philosophy - PhD, ENGINEERING, Doctor of Philosophy - PhD, ENGINEERING at INSA Lyon - Institut National des Sciences Appliquées de Lyon
Stackoverflow
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Github Skills (11)
jumpstart9
jupyter-notebook8
binder8
jupyterlab8
python7
jupyter7
science6
data-cleaning6
machine-learning5
data-science4
open-source3
Programming languages (1)
Github contributions (5)
MoomalQ/Blind_Disaggregation
Oct 2020 - Oct 2020
Contributions:18 pushes, 1 branch in 1 day
MoomalQ/Moomal
Oct 2020 - Oct 2020
Contributions:1 PR, 16 pushes, 2 branches in 1 day
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