AI Built Around Your Business

Custom LLM integrations, agent workflows, and data pipelines for European businesses — designed and shipped by the engineer you talk to.

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const agent = createAgent({
  model: claude("claude-sonnet-4-6"),
  tools: [analyzeDocument, extractEntities],
  context: await loadBusinessRules(client),
});

const result = await agent.run(task);

What I Build

AI Integration

Your team spends hours on tasks AI could handle in minutes.

Custom AI workflows — one client's compliance team got 20+ hours a week back.

LLM-powered document analysis and summarization
Automated data extraction and classification
Fine-tuned models for domain-specific tasks

Agent Workflows

Complex processes still require manual coordination across tools.

Autonomous agents that orchestrate multi-step workflows end-to-end.

MCP-based tool orchestration and integration
Human-in-the-loop approval chains
Cross-system automation with intelligent routing

Data & AI Pipelines

Your data sits in silos, disconnected from decision-making.

Automated pipelines that put clean, current data in front of the people and models that need it.

ETL pipelines with built-in data quality checks
Real-time streaming and event-driven architectures
ML model serving and monitoring infrastructure

Custom Development

Off-the-shelf software doesn't fit your specific business logic.

Purpose-built applications designed around how your team actually works.

Next.js and React full-stack applications
API design, integration, and third-party orchestration
Legacy system modernization and migration

Technologies I Work With

OpenAIAnthropicMCPLangChainAWSAzureGCPPythonTypeScriptNext.jsPostgreSQLDocker

Recent Work

Real problems, measured outcomes — mostly for European financial services teams.

Automated Compliance Review for FinTech

AI-powered regulatory document analysis replacing manual review workflows.

LLMPipelineFinTech

85% fasterreview time reduction

Intelligent Customer Onboarding Agent

MCP-orchestrated agent automating KYC verification and account setup.

AgentMCPBanking

3x fasteronboarding completion

Real-Time Fraud Detection Pipeline

Streaming ML pipeline reducing false positives while catching more fraud.

PipelineMLFinTech

92% accuracyfraud detection rate

What Clients Say

Jinghua didn't just build what we asked for — she understood our business deeply enough to suggest solutions we hadn't considered. The AI integration saved our compliance team over 20 hours a week.

Thomas Weber

CTO, Finversa GmbH

Working with Jinghua felt like having a senior AI engineer embedded in our team. She delivered a production-ready pipeline in half the time we expected.

Sarah van den Berg

Head of Engineering, DataFlow BV

About Me

Jinghua Han

Founder & AI Consultant

I've spent my career building software for European financial institutions, with a deep grounding in the fintech landscape — from regulatory compliance to real-time transaction processing.

My transition into AI consulting was driven by a simple observation: most businesses don't need off-the-shelf AI products. They need custom solutions that understand their specific workflows. I specialize in LLM integration, agent workflows using MCP, and data/AI pipelines — always starting from the business problem, not the technology.

I work closely with teams as an embedded technical partner, not an outsourced vendor. That means understanding your codebase, your constraints, and your goals before writing a single line of code.

Background: Fintech engineering for European financial institutions

Specializations: LLM integration, MCP agents, data/AI pipelines

Approach: Direct work with the engineer — no account managers, no handoffs

How I Work

From first conversation to production deployment.

1
Discovery
I map your workflow, your data, and what success looks like — before any technology decisions.
2
Design
A solution architecture that fits your existing stack, reviewed with you before the build.
3
Build
Iterative development — you see working software at every demo, not status decks.
4
Deploy
Production rollout with monitoring and knowledge transfer — your team can run it without me.

1
Discovery
I map your workflow, your data, and what success looks like — before any technology decisions.
2
Design
A solution architecture that fits your existing stack, reviewed with you before the build.
3
Build
Iterative development — you see working software at every demo, not status decks.
4
Deploy
Production rollout with monitoring and knowledge transfer — your team can run it without me.