Francisco Romero
Data Scientist
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolFrancisco Romero is an AI lead and data scientist with 10 years of experience building production-grade machine learning and agentic AI systems for telecommunications, healthcare, and automation. Based in Montreal, he architects LLM-powered RAG pipelines and autonomous decision-making agents that optimize LTE/5G network slicing, fault detection, and KPI-driven operations. His background spans deep learning for biomedical imaging and signal processing to hands-on telecom systems engineering, giving him rare cross-domain fluency from RF networks to neural architectures. At Ericsson he translated research into scalable deployments—pioneering RL-based PIM mitigation and dynamic alarm-thresholding—while mentoring junior researchers and leading outreach programs like AI4Kids. He pairs academic rigor as a PhD candidate with practical software engineering experience (Java, Hibernate, PostgreSQL) and a keen interest in digital image processing and hardware. Colleagues describe him as a pragmatic innovator who focuses on responsible AI that measurably improves system resilience and user outcomes.
10 years of coding experience
7 years of employment as a software developer
PhD Candidate, Deep learning, Machine learning, Biomedical engineer, PhD Candidate, Deep learning, Machine learning, Biomedical engineer at École Polytechnique de MontréalMaster of Science in Electrical Engineering, Machine Learning, Digital Image Processing, Biomedical engineering., 9.43 over 10, Master of Science in Electrical Engineering, Machine Learning, Digital Image Processing, Biomedical engineering., 9.43 over 10 at Universidade Federal do AmazonasTelecomunication and Electronic Engineer, Telecomunications, Electronics., 4.87 over 5.0, Telecomunication and Electronic Engineer, Telecomunications, Electronics., 4.87 over 5.0 at Universidad de Oriente. Cuba
English, Portuguese, Spanish
Stackoverflow
9reputation
0reached
1answer
0questions
Github Skills (86)
file-copy10
digital-pathology10
mri10
removal10
pause10
computed-tomography9
python9
bids9
dialogs9
medical-imaging9
vintage9
neuroimaging9
theano9
error-handling9
launchpad8
Programming languages (8)
Github contributions (5)
fperdigon/kindle_PyQT_apps
Sep 2016 - May 2017
Contributions:4 commits, 5 pushes, 2 branches in 8 months
fperdigon/ECG-BaseLineWander-Removal-Methods
Jul 2018 - Feb 2022
This repository contains 9 methods for Base Line Wander removal. It also contains 3 similarity metrics that are applied to signals.
Contributions:21 commits, 14 pushes, 1 branch in 3 years 8 months
similarity-metricssimilarityremovalmetricssignals
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