Marco Patzelt

Marco Patzelt

Production Engineer — Middleware, Legacy Systems, AI Environments

I lay pipes for data. Some of them build themselves now. I build middleware, connect legacy CRMs to modern stacks, and design environments where AI agents stay grounded.

Marco Patzelt
Architecture
Serverless
Backend
Node.js

Lean Architecture:
Less code. More leverage.

I build software infrastructure that doesn't require an IT department to maintain. Use existing infrastructure over custom backends. Architect value, not complexity. Maximum speed, no unnecessary license costs, full independence from sluggish systems.

Infrastructure &
Type Safety

Serverless instead of Server Farms

No maintenance, no downtime. Deployment in serverless environments (e.g., Vercel) means you only pay for compute when it's actually used.

TypeScript Logic

Strict typing prevents errors before they happen. The result is an extremely stable codebase that doesn't break even with complex features.

import { NextResponse } from 'next/server';

import { createClient } from '@supabase/ssr';

export async function POST(req: Request) {

// Typsichere Validierung

const body = await req.json();

const { id } = Schema.parse(body);

const supabase = createClient();

const { data } = await supabase

.from('events')

.select('*');

return NextResponse.json(data);

}

System Status

API Gatewayeu-central-1
24ms
Postgres Replicaread-only
12ms
REALTIME SYNC

Backend & Data

Backend-as-a-Service with Supabase (PostgreSQL).

The Advantage: The same power as enterprise systems, but without the overhead. Data is synchronized in real-time – extremely fast and scalable.

Modular Architecture

Independent components, flexibly connected.

The Principle: It's not just about APIs, but true decoupling. Parts of the system can function independently, be swapped out, or scaled.

Built with

I prefer raw API calls when they give me full control — less abstraction, more clarity. But when a tool earns its place, here's what I ship with.

TypeScript
Node.js
Next.js
Supabase
PostgreSQL
Redis
Gemini API
Vercel
Git
Tailwind
03
Frontend Engineering

Design Implementation & System Integration.

I realize complete web interfaces that are visually convincing and merge seamlessly with the underlying architecture.

Visual Fidelity

"Static layouts turn into functional, responsive websites. I translate designs exactly into code."

Pixel-Perfect
Implementation

Type Safety

"I breathe life into design. How do filters behave? What happens on click? I develop the interaction logic."

Interaction Logic
Behavior

User Experience

"The frontend is not an isolated coat of paint, but the precise counterpart to the backend. Data structures mesh perfectly."

Architecture
Integration

Agentic Orchestration Layer Model.

An LLM with a job title is like a consultant without a desk — no data access, no tools, no systems. I build the desk. The model brings flexibility and intelligence. Everything around it brings determinism and safety. Environment design over prompt engineering. Hard verification over soft confidence.

System 2 Thinking

The system doesn't "guess". It uses an encrypted thinking loop for plan validation.

agent_runtime.log
> INITIALIZING_COGNITIVE_LAYER...
> LOADING_SCHEMA: public.users
> LOADING_SCHEMA: public.transactions

Glass Box Trust

No loading spinner. You see every SQL query and every thought in real-time.

Input: "Calculate CLTV"
@runtime_generated AUTOdef calculate_cltv(df):avg_value = df['amt'].mean()freq = df['transactions'].sum()return avg_value * freq
EXECUTING
Result: 4,205.50 EUR

CAG instead of RAG

The agent writes Runtime Code. Instead of hallucinations, it generates real, executable code for analytically exact answers.

01
Context
Orchestration
03
Execute

Cognitive Pipeline Layer

No messy "spaghetti diagrams". A central, linear pipeline orchestrates all tools, contexts, and safety checks.

Protocol Verification
ACTIVE
Engine_A (SQL)
4,205,921.00
Engine_B (PY)
4,205,921.00
DELTA CHECK0.00% (MATCH)

Safeguard Protocol

Quantitative answers are calculated via two independent paths. Only results that withstand mathematical verification reach the user.

Architecture Logic

High-Performance
Integration Layer

The Challenge

Architecting a middleware solution to bridge the gap between modern, fast frontends and heavy enterprise systems without sacrificing performance.

The Architecture

Middleware Engineering
Node.js Application (Vercel) for decoupling system logic.
Data Synchronization
Real-time entity reconciliation.
High-Performance Caching
Upstash (Redis) to minimize latency.
Processing Pipeline
Automated content handling.
FrontendEnterprise Core
Middleware
Vercel Serverless
POST /api/ingest
Redis Lock

"key": "sys_123_lock",

"ttl": 60,

"status": "acquired"

Processing API

"text": "Complex Entity",

"source": "RAW",

"target": "NORM"

Core Sync
Enterprise Core System
await crm.create(data)
Engineering Logs

Latest Thoughts.

View all posts

Let's
connect.

I write about what I build, I build what I'm curious about, and I'm always up for a real conversation about systems, agents, or legacy architecture. If you have a problem that sounds like plumbing — reach out.

Email me
Email me