Asif Raza A.

Production AI systems are what I build: RAG, agentic workflows, and real-time voice with sub-500ms latency. .NET and Python stacks. 15+ years shipping for production, including Intersight AI (RAG document intelligence on Azure OpenAI) and InTake AI (real-time voice agent on .NET Core + SignalR). Most "AI projects" stall at the gap between a working prototype and a system that holds up under real traffic, real edge cases, and real auditability. That gap is what I close. WHAT I ACTUALLY BUILD RAG systems with hybrid search, structured extraction, and confidence scoring (not just chunk-and-stuff) Agentic workflows where determinism, error recovery, and human-in-the-loop are designed in from day one Real-time voice AI with measured latency budgets across STT, LLM, and TTS Multi-tenant SaaS platforms with proper tenancy isolation, background jobs, and observability Production-grade .NET Core and Python (FastAPI) backends with full CI/CD, monitoring, and rollback paths WHERE I'VE SHIPPED EmpowerNow: an enterprise AI orchestration platform using Python FastAPI microservices. Developed Agentic RAG pipelines with support for Pinecone, Weaviate, Milvus, Qdrant, and Chroma. Intersight AI: Production RAG on Azure OpenAI with LangGraph, structured document extraction, clause-level scoring InTake AI: Real-time voice AI, sub-500ms end-to-end latency, .NET Core + SignalR streaming STT/TTS SkyBoss: Multi-tenant field-service SaaS serving hundreds of companies, Stripe billing, cross-account reporting Eureeca: Global equity crowdfunding platform, KYC/AML compliance SMP Pharmacy: HIPAA-compliant mobile app with EMR integration, RBAC, and audit trails THE STACK I REACH FOR LLM and AI: OpenAI, Azure OpenAI, LangGraph, LangChain, vector databases (Pinecone, ChromaDB, pgvector), structured outputs, evaluation harnesses Backend: Python (FastAPI), microservices, REST and GraphQL APIs, Redis, .NET Core, C#, PostgreSQL, SQL Server Frontend: Angular, React, Next.js, TypeScript Cloud: Azure (Functions, Container Apps, AI Search, App Service), AWS, Docker, Kubernetes basics, CI/CD pipelines HOW I WORK Each milestone ships with a Loom walkthrough and a shared staging environment you can poke at. Weekly written summary covering what shipped, what's blocked, what's next, so you're not chasing for status. I scope before I quote, push back when something won't scale, and write tests on day one rather than as cleanup. GMT+5, response within 2-3 hours during your working day. WHO THIS IS FOR Founders are moving an AI prototype to production. Teams modernizing legacy .NET or SaaS platforms. Companies that need a senior engineer who can own architecture decisions and ship, not just take tickets. If you're building chatbot wrappers or one-off scripts, I'm not the right fit. Happy to jump on a 30-minute Zoom to walk through your architecture and where I'd start.