Available for new work

Kaige
Gao.

AI Agent Builder · Cloud Architect · Indie Founder

I architect autonomous systems — multi-agent pipelines, hybrid LLM judgment layers and production cloud — that keep working while I sleep.

FocusAI agents · cloud infra
Based inChicago, IL
Shipped4 production systems
North starFounding engineer

01About

Building systems that
run themselves.

I am a full-stack AI agent architect and cloud infrastructure engineer obsessed with building autonomous systems that operate at scale. I specialize in multi-agent pipelines, hybrid LLM judgment layers and production-grade cloud deployments on GCP and AWS.

When I'm not architecting agents, I'm shipping products — from sales intelligence platforms to legal-tech verification systems. My north star is becoming a founding engineer at a company that matters.

4+
Projects Shipped
3
Cloud Platforms
1
Goal — Founder

02Selected work

Featured projects

Four production systems — agents, legal-tech and serverless infrastructure.

Scout

Sales Intelligence Agent

Deployed

Multi-agent sales research platform that turns raw company signals into actionable sales strategy. Continuously monitors target companies for buying signals — layoffs, funding rounds, hiring shifts — and auto-generates one-page AI sales briefs.

PythonFastAPICloud RunMulti-Agent
View case study

HybridAgent

Hybrid AI Agent

Live Demo

Hybrid AI agent that automates employee onboarding. An LLM judgment router classifies every query as General or Time-Sensitive, then delegates to browser automation or search adapter while an FSM orchestrator drives the full IAM provisioning lifecycle.

PythonPlaywrightHybrid AgentClaude Sonnet
View case study

BriefVerify

Legal Citation Verification

Production

AI-powered legal citation verification tool that checks existence, accuracy, and good-law status of every citation in a legal brief. LLM-powered proposition mismatch detection compares brief claims against actual case holdings, with confidence-scored results delivered in under 30 seconds.

Next.jsSupabaseClaude APICourtListener
View case study

AI Document Processing

Serverless AWS Pipeline

Deployed

End-to-end intelligent document extraction pipeline on AWS. Documents flow through Lambda and Textract for OCR and structure extraction, with a CloudFront HTTPS frontend and per-IP hourly quota enforcement. All infrastructure managed with Terraform.

AWSTerraformLambdaTextract
View case study

03Capabilities

Skills & stack

AI & Agents

Multi-Agent Orchestration95%
LLM Integration & Prompting92%
ReAct / Hybrid Agent Patterns90%
Python / FastAPI90%
RAG & Vector Search85%
Browser Automation (Playwright)80%

Cloud & Infra

GCP (Cloud Run, BigQuery, GCS)88%
AWS (Lambda, API Gateway, S3)85%
Docker & Containerization85%
CI/CD (GitHub Actions, Cloud Build)82%
Terraform / IaC80%

04Contact

Let’s build something.

Currently seeking AI Agent and Cloud Architecture roles, and open to freelance work. If you need an agent system built or cloud infrastructure designed — let’s talk.