Faiz is a Lead Software Engineer at Microsoft, specializing in AI-driven cybersecurity, cloud infrastructure security, and big data analytics. He has extensive experience in real-time anomaly detection, AI-powered threat mitigation, and enterprise network security for large-scale distributed systems.

Faiz has significantly contributed to developing and strengthening security protocols, implementing advanced AI-powered detection mechanisms, and enhancing cloud security for enterprise-scale systems. His expertise lies in AI-driven threat detection, secure cloud computing, and implementing proactive cybersecurity measures to mitigate evolving threats in complex environments.

In addition to his industry contributions, Faiz actively engages in AI and big data research. He has authored several influential IEEE papers, including “Optimizing Query Performance with Adaptive Indexing in Distributed Systems Using Azure Data Explorer,” “Cost-Optimized Cloud Scheduling for ETL and Big Data Using AI,” and “Context-Aware Telemetry Data Compression for Cost Optimization in Distributed Systems.” These research endeavors complement his expertise in scalable AI architectures for security analytics, anomaly detection, and infrastructure protection.

Faiz holds multiple prestigious Microsoft certifications, including Microsoft Certified: Azure Data Scientist Associate, Microsoft Certified: Azure AI Engineer Associate, and Microsoft Certified: Azure AI Fundamentals. Due to his outstanding achievements in the field, he was awarded the Chartered IT Professional (CITP) designation by the British Computer Society (BCS), Senior Membership by IEEE, and Fellowship by the Institution of Electronics and Telecommunication Engineers (IETE).

He also maintains a strong online presence, ranked globally at position 400 on MATLAB Answers, demonstrating his ongoing commitment to knowledge sharing and community engagement in the fields of AI and big data. Additionally, he has been invited as a speaker at various prestigious IEEE technological conferences, reflecting his thought leadership and influential contributions to the technological community.