Mehran Ziadloo is a machine learning engineer with 13 years of experience building large-scale, cloud-native telecom and enterprise systems, now at Meta. He was a founding member of TELUS’s CCP team, architecting a multi-tenant, multi-regional telecommunication platform that can provision new tenants in hours and serves millions of subscribers cost-effectively. Mehran combines deep ML model design with pragmatic software engineering—most recently delivering an end-to-end ML system that detects robocallers from usage patterns, cutting operational costs and improving service quality. His background spans high-throughput real-time systems, scalable CRM and contact-center platforms, and early-career signal-processing work including neonatal hearing-test devices. He holds an M.S. in Artificial Intelligence and stays current by continuously learning new technologies and reading technical literature. Outside work he pursues photography and long walks, reflecting a detail-oriented but curious mindset.
13 years of coding experience
21 years of employment as a software developer
Master's degree, Artificial Intelligence, GPA: 3.35, Master's degree, Artificial Intelligence, GPA: 3.35 at Iran University of Science and Technology
Bachelor's degree, Computer Software Engineering, GPA: 3.59, Bachelor's degree, Computer Software Engineering, GPA: 3.59 at Shamsipour University
Implementing a Siamese model in PyTorch accompanied by a triplet loss function
Contributions:1 PR, 24 pushes, 5 branches in 11 months
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Mehran Ziadloo - Machine Learning Engineer at Meta