Shabir A.

I help technical founders and enterprise teams rescue, scale, and harden production AI systems. 100% JSS, $200K+ earned, 10+ years of systems architecture experience. Most AI prototypes fail in production. I step into existing codebases and deliver AI Systems Architecture that eliminates runaway API costs, fragile multi-agent routing loops, and high-latency retrieval pipelines. 𝐏𝐫𝐨𝐨𝐟 & 𝐎𝐮𝐭𝐜𝐨𝐦𝐞𝐬: Engineered production RAG pipelines that cut retrieval latency by 40% and reduced monthly LLM API costs by 50%. Designed real-time Voice AI streaming architectures achieving sub-200ms response times under peak load. Architected microservices across .NET Core, Python (FastAPI), and Node.js to process 100,000+ documents and sync 30,000+ transactional events. 𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤: I start with a System & API Audit to pinpoint architectural bottlenecks before writing code. Then I deliver Production Hardening—converting fragile MVPs into compliant, observable systems with CI/CD pipelines and zero-downtime deployment. Every engagement ends with Deployment & Handoff: secure, documented codebases your internal team can scale confidently. 𝐂𝐨𝐫𝐞 𝐒𝐭𝐚𝐜𝐤 & 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞: AI & Agents: LangGraph, LangChain, Multi-Agent Systems, OpenAI, Claude, Vertex AI, Local LLMs. Governance: Guardrails, fallback routing, token-cost optimization. Backend & Data: Python (FastAPI), .NET Core, Node.js, PostgreSQL, Redis, Vector Databases, Kafka. Governance: Modular design, data isolation, fault-tolerant patterns. Cloud & MLOps: AWS (Bedrock, Lambda, SageMaker), Docker, Kubernetes, CI/CD. Governance: Infrastructure as Code, security compliance. If you're dealing with a slow, expensive, or unstable AI system, send me a brief. I'll outline the architectural path to stabilize it.