Open to engineering roles · Full-Stack Engineer

I build complete product systems, end to end.

Full-stack engineer with a focus on applied AI. I ship the whole system: a Laravel SaaS with a custom analytics engine, native trading software, and an LLM-driven content platform. Backend, frontend, and the integrations between.

production systems
3
lines of MQL
~63K
DB tables
77
LLM tiers
2
Selected work

Three systems, built end to end.

Each shipped to production. The numbers below are drawn straight from the codebases.

01Fintech / Trading

Riskeys

Trading-analytics SaaS

Founder & lead engineer

A Laravel platform that turns raw MetaTrader trade history into honest analytics. Traders run a custom client that streams their account state in real time; the backend computes performance, normalizes broker time, and surfaces behavioral patterns.

  • Custom analytics engine: six metric computers with partial-close grouping so a multi-leg exit counts as one trade.
  • Broker-clock normalization detects each broker's UTC offset and re-bases every timestamp before time-bucketing.
  • Seven behavioral pattern detectors (overtrading, revenge trading, discipline drift) on a clean interface/DTO contract.
  • Real-time trade sync: the client pushes account state as JSON every 100ms; the server reconciles open and closed positions.
53
models
102
migrations
77
tables
66
controllers
  • Laravel 10
  • PHP 8.1
  • MySQL
  • Stripe
  • Shopify
  • Telegram
  • Twelve Data
  • Resend
02Fintech / Trading

Riskeys EAs

Native MetaTrader software

Sole developer

The desktop side of Riskeys: trading-risk software written natively in MQL4 and MQL5. An on-chart panel for position sizing and journaling, talking back to the platform over a hand-built HTTP layer. Not an auto-trader; the trader always decides.

  • Custom on-chart GUI framework from scratch: 30+ classes for windows, panels, buttons and event handling.
  • WinAPI HTTP layer plus a JSON parser in MQL for token auth, trade upload and screenshot POST.
  • Prop-firm rule engine validating position sizes and daily limits from per-broker JSON configs.
  • MT4 and MT5 kept in parity through a documented dual-repo git workflow.
~63K
lines MQL
50+
modules each
30+
GUI classes
2
platforms
  • MQL4
  • MQL5
  • WinAPI
  • JSON
  • Inno Setup
03AI / LLM

ContentOS

AI content platform

Architect & builder

A Next.js + Supabase system that generates on-brand marketing content grounded in real product data. A dual-LLM design keeps publishable copy in the cloud and source-code analysis fully local, with an automated checker that blocks false claims before anything ships.

  • Dual-LLM split: Anthropic Claude for publishable copy, local Ollama for code analysis that never leaves the machine.
  • RAG pipeline ingests a codebase, chunks and embeds it with pgvector, and extracts marketing-safe product claims.
  • Automated claim and compliance checker validates every generated piece against a policy database.
  • MCP-based agent fulfillment: the app queues work, an agent pushes it (e.g. to Klaviyo).
77
tables
~3K
lines SQL
768
dim embeddings
2
LLM tiers
  • Next.js 14
  • TypeScript
  • Supabase
  • pgvector
  • Anthropic Claude
  • Ollama
  • MCP
Also built
  • Execution Bridge

    Order-routing service

    A NestJS service that routes orders from the trading client to an exchange API and polls positions back, isolated behind HTTP.

    NestJS · Fastify · Prisma · PostgreSQL · BullMQ · Redis

  • Telegram Bridge

    Signal relay & account linking

    Two Python services: a Telethon listener that relays channel signals to the API with catch-up, and a bot that links Telegram users to dashboard accounts.

    Python · Telethon · aiohttp

  • Remotion Renderer

    Programmatic video

    Headless React/Remotion rendering of nine compositions: daily recaps, trade replays and social clips in widescreen, square and story formats.

    Remotion · React · TypeScript

  • Shopify Storefront

    Heavily customized Dawn theme

    A custom storefront on Shopify's Dawn theme with bespoke product, pricing and affiliate sections.

    Shopify · Liquid

Capabilities

Full-stack, with an applied-AI edge.

Full-Stack Engineering

From database schema to deployed UI.

  • Laravel / PHP
  • Next.js
  • React
  • TypeScript
  • NestJS
  • Node
  • Prisma
  • Tailwind
  • REST API design

AI / LLM Integration

Applied LLM work: integration & RAG, not model training.

  • Anthropic Claude API
  • Local Ollama
  • RAG pipelines
  • pgvector / embeddings
  • MCP agent fulfillment
  • Prompt engineering
  • Claim & compliance checking

Fintech / Trading Systems

Domain depth in trading and risk.

  • MQL4 / MQL5
  • On-chart GUI frameworks
  • Broker-clock normalization
  • Trading analytics engines
  • Prop-firm rule engines
  • Position sizing & risk

Data & Integrations

The glue that makes systems talk.

  • MySQL / PostgreSQL
  • Supabase
  • BullMQ / Redis queues
  • Stripe
  • Shopify
  • Telegram
  • Twelve Data
  • WinAPI HTTP

Tools I work with

Experience

A decade of building and shipping.

2022 · Present

Founder & Lead Engineer

Riskeys

Built a trading-analytics SaaS end to end: a Laravel backend with a custom analytics engine, native MQL4/MQL5 desktop software, and the integration layer connecting them. From schema to deployment, sole technical owner.

  • Laravel
  • MQL4/5
  • Analytics
  • Real-time sync
  • Fintech

2016 · Present

Founder & AI / Automation Engineer

No Brainer HQ

Design and build AI-driven automation systems: LLM integration, RAG pipelines, and the connective infrastructure between AI models, data, and business software. Most recent work: ContentOS, a Next.js + Supabase content platform.

  • Next.js
  • Supabase
  • Claude
  • RAG
  • Automation

2014 · 2022

Automation & Systems Engineer

Independent / client work

Built and integrated workflow-automation systems across e-commerce and digital services: APIs, webhooks, payment flows, and operational tooling that reduced manual work for several ventures and clients.

  • APIs
  • Webhooks
  • E-commerce
  • Stripe
  • Shopify
Contact

Let's build something.

Open to engineering roles in fintech, AI, and product-led teams. The fastest way to reach me is email.

Levinio Vliet · Full-Stack Engineer