Summary
Suleman Muhammad is a seasoned Software Engineering Lead and AI Solution Architect with 18 years of experience designing cloud-native, scalable systems across Azure, AWS, and GCP. He combines deep hands-on expertise in Generative AI, MLOps, DevSecOps and data engineering with practical delivery—having architected enterprise RAG platforms for BBC News and Khan Academy that converted tens of thousands of videos into searchable, queryable content. He has led cross-functional teams to modernize monoliths into microservices, built high-throughput ETL and Databricks pipelines, and shipped multiple mobile apps to App Store and Google Play. Known for pragmatic architecture choices, he blends tools like LangChain, Vertex AI, GPT-4, Databricks and vector databases into production-grade solutions. Based in New Jersey, he currently leads AI platform development at Cloud Data Silicon (Skilledscore.com, VisaBridge.ai) while mentoring engineers in Agile and DevSecOps best practices. An unusual combination of enterprise-scale delivery and experimental agentic AI work—Single/Multi/Swarm-agent systems for predictive decisioning—makes him an effective bridge between research and production.
10 years of coding experience
17 years of employment as a software developer
Masters, Distributed Database System, Masters, Distributed Database System at University of Hertfordshire
University of Karachi
.Net Certificate, .Net, .Net Certificate, .Net at N.E.D University
English