Muhammad Shahzad A.

I build production-grade AI agents and RAG systems that are safe to ship and scale. If your current AI project hallucinates, gets stuck in loops, or is too expensive to run, I architect the stability, observability, and cost-controls it needs. With 5+ years of software engineering experience and a portfolio of successful AI SaaS products, I don't just write code—I design the underlying system architecture. I bridge the gap between a cool AI prototype and a reliable, enterprise-ready application. What I Deliver (Proof & Outcomes): RAG Pipelines: Engineered retrieval systems that achieve high accuracy while reducing LLM token costs by up to 50%. Voice AI & Streaming: Built real-time, low-latency audio pipelines for conversational AI applications. Autonomous Agents: Architected multi-agent workflows (LangGraph, CrewAI) with strict guardrails to prevent runaway API spending and erratic behavior. Full-Stack SaaS: Built end-to-end AI SaaS platforms (Next.js, FastAPI, Python) from database design to frontend integration. How We Work Together: I start by auditing your current infrastructure or idea to identify bottlenecks. Then, I design a modular architecture using industry-standard tools to ensure your system is reliable and maintainable. Every project includes comprehensive observability and error handling, so you can trust your system in production. Core Stack: AI & Agents: LangGraph, LangChain, CrewAI, Agentic RAG, Multi-Agent Systems. LLMs: OpenAI (GPT-4), Anthropic (Claude), Local LLMs (Ollama), Fine-Tuning (LoRA/QLoRA). Backend & Infra: Python (FastAPI, Django), Node.js, PostgreSQL, Vector Databases (Pinecone, Qdrant), Docker, AWS. Frontend: React, Next.js, Tailwind CSS. Send me a brief description of your AI project or the problem you're facing. I'll respond with a clear architectural plan to move it into production.