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Muhammad Usman NaveedMN
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Muhammad Usman Naveed

@muhammadusmannaveed

I build production multi-agent AI platforms and cloud-native backend systems for telecom and enterprise clients.

Pakistan
Message

I've built and operated Ooredoo Qatar's customer-facing conversational AI platform, serving web, mobile, and WhatsApp traffic at roughly 5,000 conversations per day. I led its evolution from a single-pass RAG service into a LangGraph-based multi-agent platform with MCP tooling, agent handoffs, and independently scalable Azure Container Apps.

I own the path from requirements and API design through secure cloud deployment, observability, incident response, and production support. By tuning retrieval and orchestration, adding Redis caching, and optimising Azure OpenAI capacity, I reduced typical end-to-end response latency from about 15 seconds to 5–8 seconds.

My work also includes omnichannel AI solution design for Vodafone Qatar, transaction fraud detection for e& money UAE, banking prediction models, and Urdu-language NLP research. I bring hands-on experience across Python, Azure, distributed integrations, RAG, agentic workflows, and production reliability.

Experience

Work history, roles, and key accomplishments

SS
Current

AI/ML Engineer

Systems Limited Middle East Arabia / TechVista Systems

Dec 2024 - Present (1 year 9 months)

Engineer in the applied AI and platform delivery practice serving telecom and enterprise clients across the Middle East, KSA and APAC. End-to-end ownership of client AI systems: requirements, solution and API design, implementation, cloud deployment, security review, and post-launch production support.

Education

Degrees, certifications, and relevant coursework

FAST National University of Computer and Emerging Sciences logoFS

FAST National University of Computer and Emerging Sciences

Bachelor of Science, Artificial Intelligence

2020 - 2024

Pursued a Bachelor of Science in Artificial Intelligence, completing the final year full-time between professional engagements.

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