Available for Projects

Automating
Business
Systems
with AI

AI Infrastructure Architect designing intelligent automation systems that transform complex business operations into scalable workflows.

5+
Years in AI
2
Ventures
Workflows Built

Building the AI-Powered Future of Business Operations

I'm Levinio Vliet, an AI Infrastructure Architect with a passion for transforming how businesses operate through intelligent automation. I design and build the connective tissue between AI models, data pipelines, and business logic — creating systems that don't just automate tasks, but genuinely augment human decision-making.

My work sits at the intersection of machine learning engineering, system design, and business strategy. I don't just implement off-the-shelf AI tools — I architect custom infrastructure that scales with your business and adapts to evolving requirements.

Through No Brainer HQ and Riskeys, I've built automation systems that handle everything from real-time financial risk analysis to end-to-end business process orchestration — all powered by cutting-edge language models and custom-built agent frameworks.

🧠
AI Systems Design
Architecting multi-agent LLM systems, RAG pipelines, and intelligent orchestration layers that think and adapt.
Automation Engineering
Building end-to-end workflow automation that connects data sources, APIs, and AI models into cohesive systems.
📐
Infrastructure Architecture
Designing scalable, reliable AI infrastructure with proper observability, fallback logic, and cost optimization.
🚀
Product Strategy
Translating complex technical capabilities into business value — from concept to production-ready deployment.

Built for the Age of AI

A full-stack skill set spanning AI model integration, systems architecture, and automation engineering.

LLM Orchestration

OpenAI API Anthropic Claude LangChain LlamaIndex CrewAI

Workflow Automation

Make.com n8n Zapier Airflow Temporal

AI Infrastructure

Vector DBs Pinecone Weaviate RAG Systems Embeddings

Backend Engineering

Python FastAPI Node.js PostgreSQL Redis

Data & Analytics

Pandas dbt BigQuery Supabase Kafka

Cloud & DevOps

AWS GCP Docker Kubernetes Terraform

How I Build Intelligent Systems

A layered approach to automation — from raw data inputs through intelligent processing to business outputs.

INPUT
📡
APIs & Webhooks
📄
Documents & PDFs
🗃️
Databases
💬
User Inputs
PROCESS
🧠
LLM Reasoning Engine
🔍
RAG & Vector Search
🤖
Autonomous Agents
OUTPUT
📊
Reports & Insights
Automated Actions
🔔
Alerts & Notifications
🔗
API Responses

Intelligent Risk Analysis Workflow

A real-world example of how I build automated pipelines that combine data ingestion, AI reasoning, and real-time decision outputs.

1
Ingest market data streams from multiple exchange APIs
2
Preprocess & normalize data using vectorization
3
Run LLM analysis with context-aware risk models
4
Score portfolio positions against risk thresholds
5
Fire automated alerts & trigger hedge actions
risk_analysis_agent.py
# Step 1 — Ingest real-time market data
from riskeys import MarketDataStream, RiskEngine

stream = MarketDataStream("wss://api.exchange.io/v2/feed")

async def ingest_market_data():
    async for tick in stream.subscribe([
        "BTC-USD", "ETH-USD", "SPY", "VIX"
    ]):
        await pipeline.process(tick)
        # Stream to processing layer →

→ 4 assets streaming at 200ms intervals
→ Latency: avg 12ms end-to-end

Where I Build

Two companies at the forefront of AI-driven business transformation — each tackling a different vertical with intelligent automation.

AI Consultancy

No Brainer HQ

AI Infrastructure Consultancy

Building custom AI automation systems for businesses ready to scale beyond manual processes. We design the full stack — from data pipelines to production-grade LLM deployments — turning complex operations into intelligent, self-running workflows.

Custom LLM integration & fine-tuning
End-to-end workflow automation design
AI infrastructure architecture & scaling
Operator training & system documentation
Fintech

Riskeys

Intelligent Trading Risk Management

A fintech platform that applies AI to one of trading's hardest problems: real-time risk management. Riskeys monitors positions across assets, runs continuous LLM-powered scenario analysis, and automatically executes protective measures when thresholds are breached.

Real-time multi-asset risk scoring
LLM-powered market scenario analysis
Automated hedging & alert systems
Portfolio intelligence dashboard

Career Timeline

A journey from software engineering foundations to building cutting-edge AI infrastructure at scale.

2023 – Present Founder

AI Infrastructure Architect & Founder

No Brainer HQ

Founded and lead No Brainer HQ, an AI infrastructure consultancy. Architecting custom automation systems for enterprise clients, designing LLM-powered workflows, and building the infrastructure that makes AI practical at business scale.

LangChain OpenAI n8n Python AWS
2024 – Present Co-Founder

Co-Founder & Chief Architect

Riskeys

Co-founded Riskeys, a fintech platform applying AI to intelligent trading risk management. Built the core risk engine, LLM integration layer, and real-time market data pipeline from the ground up.

Fintech Risk Modeling LLM APIs FastAPI Real-time
2021 – 2023 Senior Role

Senior Automation Engineer

Various Clients

Designed and deployed automation systems for businesses across e-commerce, logistics, and financial services. Built the expertise in workflow orchestration and systems integration that forms the backbone of my current work.

Make.com Zapier REST APIs Node.js
2019 – 2021 Engineer

Full-Stack Software Engineer

Tech Startups

Started career in full-stack development, building web applications and APIs. Developed a deep understanding of backend systems, databases, and API design — the technical foundation that now powers complex AI integrations.

JavaScript Python PostgreSQL React

Let's Build Something Together

Whether you're looking to automate business operations, build AI-powered products, or architect intelligent systems — let's talk about what's possible.