Amir A.

🔷 Who I Am I design and deploy enterprise-grade AI systems across cloud ecosystems bridging the gap from research to production over 5+ years. I specialize in Generative AI, agentic systems, and advanced RAG architectures, delivering solutions through real-world interfaces such as web applications and enterprise platforms like MS Teams. 🔷 I’m Proud Of Turning complex, ambiguous business problems into scalable, reliable AI systems that deliver measurable impact and consistently exceed stakeholder expectations. 🔷 My Work Experience I’ve built and deployed production-level AI solutions across industries including automotive, manufacturing, IT, and healthcare: • LLM-powered Medical Coding Platform (Agentic AI) Designed a system that transforms unstructured physician notes into CPT/ICD-10 codes using structured reasoning pipelines, validation layers, and audit-ready outputs. Built with modular prompting, decision logic, and evaluation workflows aligned with real-world healthcare constraints. • Enterprise Advanced RAG Assistant for Application Engineers Architected a scalable Azure-based RAG platform leveraging Azure OpenAI, Cognitive Search, and Container Apps, Web App to enable intelligent querying across large technical documentation. Implemented multi-mode retrieval (quick lookup, deep search, auto reasoning) optimized for grounding, latency, and reliability. • Agentic Catalog Translator (Copilot Studio + Azure) Designed and deployed task-oriented AI agents integrating enterprise data and workflows using Microsoft Copilot Studio, Power Platform, and Azure services. Focused on tool orchestration, contextual grounding, and guardrails to ensure safe, enterprise-ready automation. 🔷 Strategic Approach At a systems level, I focus on building AI solutions that are: • ✔️ Reliable => minimizing hallucinations and ensuring consistent behavior • ✔️ Explainable => structured outputs with clear reasoning • ✔️ Scalable => cloud-native and enterprise-ready by design • ✔️ Outcome-driven => aligned with real business impact, not just technical success I take pride in deeply understanding client needs and translating them into high-impact, production-ready solutions while maintaining a strong focus on delivery quality, timelines, and overall experience. 🔷 What Makes Me Different I operate at the intersection of AI engineering, system architecture, and product strategy: • I design end-to-end AI systems from data ingestion and retrieval to reasoning and deployment • I build agentic and RAG systems that are grounded, evaluable, and production-ready • I leverage the Azure AI ecosystem deeply (Azure OpenAI, Cognitive Search, Container Apps, ACR, identity/auth flows) • I bring research-level depth into production systems (robustness, distribution modeling, validation) • I think in terms of systems, NOT models and prioritize reliability, scalability, and business value 🔷 Technical Depth • LLM Systems: RAG pipelines, agent orchestration, prompt engineering, evaluation frameworks • Azure Ecosystem: Azure OpenAI, Cognitive Search, Container Apps, ACR, identity & access integration • Agentic AI: Copilot Studio, tool integration, workflow automation, guardrails • Computer Vision: Vision transformers, Image-to-Text, Text-to-Image models • Data Pipelines: Unstructured → structured reasoning with validation and schema enforcement