Hakimeh P is a Principal Data Scientist and project lead with seven years of experience applying machine learning, signal processing, and mathematical modeling to healthcare and telecom problems. She leads AI accelerator initiatives at Ericsson, translating research prototypes into production-ready solutions while overseeing end-to-end delivery, product roadmaps, and cross-functional teams. Her background spans academia and industry—from a PhD in Telecommunications and deep research on radio resource management to co-founding a health-tech startup and building radar/ECG/PPG sensing pipelines. Hands-on in Python, Matlab and deep learning frameworks, she specializes in noisy-signal cleaning, feature extraction, and fusion for medical imaging and vital-sign analytics. Comfortable shifting between technical depth and business development, she has authored multiple peer-reviewed papers and repeatedly bridged standards-driven telecom research with commercial AI products. A practical innovator, she combines rigorous signal-theory foundations with product delivery experience to de-risk and scale complex AI systems.
7 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD) Telecommunications Engineering, Doctor of Philosophy (PhD) Telecommunications Engineering at University of Alberta
Deep Learning and Machine Learning, Deep Learning and Machine Learning at Udemy Alumni
Master of Science (MSc) Telecommunications Engineering, Master of Science (MSc) Telecommunications Engineering at University of Tehran
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Hakimeh P - Principal Data Scientist And Project Lead