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Shahzaib NoorSN
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Shahzaib Noor

@shahzaibnoor

Senior Agentic AI Engineer building production-grade LLM and multi-agent RAG systems with evaluation and observability.

Pakistan
Message

What I'm looking for

I’m looking to build reliable production LLM systems—multi-agent orchestration and RAG—where evaluation, observability, governance, and measurable quality gates are first-class. I want to ship tool-using agents with strong engineering rigor.

I’m a Senior Agentic AI Engineer with 9 years of software engineering experience and 3 years specialising in production-grade LLM systems, multi-agent orchestration, and RAG pipelines.

My core expertise is LangGraph, Model Context Protocol (MCP), OpenAI Agents SDK, LangChain, and agentic workflow engineering—systems that reason, plan, use tools, and operate reliably in production with evaluation, observability, and governance built in.

I’ve delivered AI-powered platforms across Healthcare, FinTech, IoT, and SaaS for clients in US, UK, UAE, and EU markets—building MCP servers, typed tool interfaces, and production RAG systems with measurable retrieval-quality improvements.

I lead with engineering rigor: golden datasets, LLM-as-a-Judge, prompt injection testing, PII leakage detection, hallucination detection, and CI/CD regression gates, backed by execution tracing, cost monitoring, structured logging, and Sentry error tracking. I also publish production-grade work, including an open-source RAG system on GitHub.

Experience

Work history, roles, and key accomplishments

IC
Current

Senior Agentic AI Engineer

Independent Consulting

Sep 2020 - Present (5 years 9 months)

Designed and deployed production multi-agent LLM systems using LangGraph, MCP tool interfaces, and RAG pipelines for healthcare, FinTech, and SaaS clients. Built evaluation and observability into releases (golden datasets, LLM-as-a-Judge, prompt-injection/PII checks, Sentry tracing) and delivered a production workload reduction of 60–70% in CareCopilot AI.

PR

Software Engineer

PrismPay

Aug 2018 - Sep 2020 (2 years 1 month)

Built regulated FinTech backend services processing 100K+ monthly transactions with Python/FastAPI and async pipelines, improving throughput by 30% and reducing deployment errors by 80%. Implemented JWT/OAuth2 authentication, payment gateway integrations, and audit/compliance controls.

Education

Degrees, certifications, and relevant coursework

ST

Sir Syed University of Engineering & Technology

Bachelor of Science, Computer Science

2012 - 2016

Earned a B.S. in Computer Science from Sir Syed University of Engineering & Technology between 2012 and 2016.

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