Rehana Mahfuz
Machine Learning Engineer at Qualcomm
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolRehana Mahfuz is a machine learning engineer with nine years of experience building and deploying ML solutions across audio, NLP, and computer vision domains, currently driving projects at Qualcomm in the San Francisco Bay Area. She pairs academic rigor from an MS at Purdue with hands-on industry impact, from prototyping seq2seq summarization and QA systems to hardening models against adversarial attacks in research settings. Her background spans end-to-end work—data pipelines and visualization at Los Alamos to production-focused ML engineering at Qualcomm—reflecting both deep technical breadth and practical delivery. Known for translating research roadmaps into shipped results, she also brings teaching and mentorship experience from multiple roles at Purdue, which sharpens her ability to communicate complex ML concepts to diverse teams.
9 years of coding experience
1 year of employment as a software developer
Fahaheel Al Wataniah Indian Private SchoolMaster of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Purdue University
English, Hindi, Bengali
Github Skills (27)
python8
machine-learning8
planet8
pytorch8
simulate8
data-science7
tensorflow7
deep-learning7
ring7
hydrodynamics6
earth6
ram6
simulation6
neural-network5
text-summarization5
Programming languages (2)
Github contributions (5)
rmahfuz/Fault-tolerant-distributed-optimization
Nov 2016 - Feb 2018
Contributions:54 pushes, 2 branches in 1 year 3 months
rmahfuz/DeepLearning
Jan 2019 - Jan 2019
Contributions:53 pushes in 1 day
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