Abdul Rahman

• Engineering production prompt flows on Vertex Al (Gemini 2.5/3.1) for Al-driven security analyst copilots, alert
enrichment, and automated triage in Managed Detection and Response (MDR) operations.
• Building security automation playbooks integrating Microsoft Sentinel (SIEM) with Azure Logic Apps Al agents to
orchestrate threat detection, alert correlation, and incident response (SOAR).
lterating prompt engineering, model evaluation, and guardrails on eybersecurity-domain LLM tasks to reduce false
positives, accelerate analyst triage, and lower mean-time-to-respond (MTTR)
• Engineered production-grade GenAl web applications integrating GPT, Claude 3.5, and LLaMA via Fast API/Node js
backends and React/TypeScript frontends, powering enterprise Al automation across multiple business nits.
Architected antonomots multi-agent orchestration systems using LangGraph, MCP Protocol, and Copilot Studio for
document intelligence pipelines, reducing manual processing effort by 70%.
• Desigued enterprise Retrieval-Augmented Generation (RAG) pipelines on Azure AI Search, Pinecone, and ChromaDB
with hybrid semantic search and re-ranking, improving retrieval accuracy by 35%
• Deployed microservices and REST APIs on Azure (App Services, Functions, AKS) achieving 99.9% uptime: applied
prompt engineering and function calling to reduce LLM inference costs by 25% and response latency by 30%
• Built end-to-end OCR and NLP workflows using Azure Document Intelligence, integrating extraction APIs with React
frontends for human-in-the-loop review and validation.
• Developed React and Angular dashboards visualizing AI analytics across 10K-+ documents/month; designed RESTful
APIs and microservices using Fast API and Express js