Adam Khazi is a software engineer based in London with 11 years’ experience building production systems across mobile, web and machine learning domains. Currently at Meta, he works on ML-driven anti-spam for WhatsApp, combining applied research instincts from an MSc in Web Science & Big Data with hands-on engineering. Previously he helped shape iOS infrastructure and tooling at Bloomberg, contributing notable open-source work to the widely used Tuist CLI and co-authoring xcdiff for Xcode project comparisons. His background spans full-stack and platform roles, from TensorFlow research on protein dynamics to Node/React/AWS platform work, reflecting a practical blend of ML, mobile and developer-infrastructure expertise. An attention to developer experience and dependency management—evident in his Tuist contributions—complements his production-focused approach to complex systems.
11 years of coding experience
5 years of employment as a software developer
International Baccalaureate, International Baccalaureate at Bangkok Patana School
BSc, Computer Science with Professional Practice (Artificial Intelligence), First Class with Honours (3.88/4.0 GPA), BSc, Computer Science with Professional Practice (Artificial Intelligence), First Class with Honours (3.88/4.0 GPA) at Brunel University London
Contributions:20 commits, 17 PRs, 6 pushes in 7 months
Contributions summary:Adam primarily contributed to the `Tuist` CLI, focusing on enhancements related to dependency management and project generation within an iOS development context. Their work included implementing features to handle transitive SDK dependencies, ensuring correct linking of dynamic libraries, and refining project structure, such as modifying how Xcode project files are named. The user also implemented tests and addressed bugs related to Info.plist files and header file handling.
Contributions:167 commits, 23 pushes, 2 branches in 1 year 1 month
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