AI Full-Stack Engineer

Ali Kiani

Building AI-native products, real-time SaaS systems, and scalable Full-Stackarchitectures focused on performance, streaming UX, and intelligent workflows.

AI Workflow Runtime
System Active

Retriever

Context successfully retrieved

48ms

Agent Workflow

Multi-step orchestration executing

Live

Token Streaming

Streaming responses in real time

52 tok/s
Next.js
React
TypeScript
OpenAI API
LangChain
RAG Pipelines
Vector Search
WebSockets
Agentic Workflows
PostgreSQL
MongoDB Atlas
LangGraph
Next.js
React
TypeScript
OpenAI API
LangChain
RAG Pipelines
Vector Search
WebSockets
Agentic Workflows
PostgreSQL
MongoDB Atlas
LangGraph
About

Crafting Intelligent
Digital Experiences

Building AI-native products with modern frontend architecture, real-time systems, and scalable user experiences.

I’m Ali Kiani, a Senior AI Full-Stack Engineer focused on building reliable intelligent systems, production-grade digital products, and scalable enterprise SaaS.

I bridge core software engineering with applied AI—architecting end-to-end systems around LLMs, agentic workflows, deterministic RAG pipelines, and vector databases like pgvector and Qdrant. My focus spans multi-agent orchestration, structured ETL pipelines, model integration, and high-performance Next.js and FastAPI architectures.

I believe AI must feel native to the product—never bolted on. I treat performance, reliability, and UX as first-class engineering principles, crafting low-latency interfaces and robust workflows that make complex machine intelligence effortless to use.

Performance is a featureAI should feel native to the UXBuild scalable production systemsClean architecture over complexity
Ali Kiani avatar

Ali Kiani

AI Full Stack Engineer.

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Built with Next.js + TypeScript

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