Ali Naqvi
Senior Solutions Architect at John Snow Labs
Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolAli Naqvi is a Senior Solutions Architect with a decade of experience designing secure, scalable AI and data platforms across healthcare and enterprise environments. He blends deep technical expertise in cybersecurity, cloud-native architectures, ML/AI infrastructure, and big data with hands-on delivery—having architected large EKS/ECS fleets, RL replication for Postgres, and ML inference services at scale. His work at Roche and John Snow Labs spans production medical LLMs, de-identification, NER/RE pipelines, and remote patient monitoring integrations, reflecting a rare mix of clinical data sensitivity and advanced ML deployment skills. Trained as a molecular scientist and former doctoral researcher, he brings rigorous computational modeling experience and an NSERC PGS-D–backed record of scientific impact that informs his engineering judgment. A proven operator and mentor, he has published research, led large cross-functional teams, and scaled processes that materially reduced latency and operational load. Colleagues rely on him to translate complex scientific and security requirements into auditable, production-ready systems.
10 years of coding experience
4 years of employment as a software developer
Toronto Metropolitan University
Github Skills (135)
snow10
python10
ipython10
flask10
spark-ml10
runnable10
multi-user10
jupyter-notebook10
binder10
react10
labeling9
data-analytics9
zip9
emacs9
superset9
Programming languages (12)
Github contributions (5)
MAliNaqvi/hello-world
Jul 2015 - Jul 2017
Contributions:1 push, 1 branch, 2 issues in 1 year 11 months
MAliNaqvi/testing
Jul 2017 - Nov 2017
Contributions:35 pushes, 1 branch in 3 months
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