Faraz Khan is an award-winning R&D leader with 19 years in software development and a 13-year track record driving AI-driven platforms at Ibex, where he currently serves as Associate Director Research & Development. He architects and scales real-time, distributed systems—spanning fraud detection, computer vision, and NLP—that deliver measurable business outcomes, including an AI fraud engine that protects approximately $10M in annual revenue. Comfortable in both hands-on engineering (C#, .NET Core, ML.NET, OpenCV) and strategic product influence, he has embedded analytics and compliance tooling into core operations to enable faster decisions and safer workflows. Faraz’s career blends enterprise fintech and contact-center innovation—from branchless banking and SMS platforms to telephony/video compliance—revealing a consistent ability to turn research into production at scale.
13 years of coding experience
6 years of employment as a software developer
BS, Computer Science, BS, Computer Science at National University of Computer and Emerging Sciences
Contributions:79 commits, 41 pushes, 3 branches in 10 years 8 months
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