
Ali Noman
Level 2
Lead AI Engineer with Research background
Skills

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Work experience
Machine Learning Engineer
Cecelia Health
Apr 2020 - May 2024 • 4 yrs 1 mo
Designed and deployed machine learning models to solve real-world business problems using large-scale datasets. Built predictive models, anomaly detection systems, and recommendation engines using Python, TensorFlow, and Scikit-learn. Developed automated data pipelines for data preprocessing, feature engineering, and model evaluation. Deployed models through scalable APIs and cloud infrastructure, enabling organizations to leverage data-driven insights for smarter decision-making and operational efficiency.
37 Reviews
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Rating Breakdown
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mwatahi
Repeat Client

United States
Best person to work with. He will treat the best way honestly and he will do his best to get you the best product. Ali and Hadi are great team!
mwatahi
Repeat Client

United States
Best person to work with. He will treat the best way honestly and he will do his best to get you the best product. Ali and Hadi are great team!
alexishumbert
Repeat Client

France
Ali did a great job building our RAG system. He has strong technical skills, was responsive, and helped create a solid, scalable solution. He was proactive in solving issues and communication was smooth throughout the project. One area for improvement would be attention to detail as a few small things...
slimaniabder
Repeat Client

France
I’m extremely satisfied with the service. he handled the full installation and optimization of my RAG system with impressive technical mastery. They solved every issue efficiently and delivered a stable, high‑performance setup. A reliable and highly skilled professional. Highly recommended.
slimaniabder
Repeat Client

France
I’m extremely satisfied with the service. he handled the full installation and optimization of my RAG system with impressive technical mastery. They solved every issue efficiently and delivered a stable, high‑performance setup. A reliable and highly skilled professional. Highly recommended.