Glenn McVey

About me

Builder. Operator.
Systems thinker.

I build production-ready systems with Python, TypeScript, and modern AI/ML stacks. Currently shipping Wekeke.com — a SaaS platform with AI-powered DM automation — while working safety-critical ops at DHL.

Strong Git workflow practitioner with 7+ years building scalable infrastructure: PostgreSQL systems handling 100k+ transactions/day, Redis-based queue systems, algorithmic trading bots with ML, and production LLM integrations.

Before engineering, I led 50+ person teams at Amazon. That shapes how I code: systematic thinking, comprehensive documentation, and treating reliability as a first-class requirement.

Based in Halle (Saale), Germany. Full work authorization. Open to remote-first or hybrid roles. Native English, Deutsch B1–B2.

Years Python + TypeScript

100k+

Daily DB transactions (production)

AI/ML projects shipped

50+

Team members led (Amazon)

Experience

Where I've worked

Hands-on roles spanning full-stack development, AI/ML systems, and operations leadership.

Founder & Lead Full-Stack Developer

Wekeke.com

Dec 2025 – Present

Built production AI-powered SaaS platform for creator DM automation using React, Next.js, TypeScript, and Python backend services.
Integrated LLM APIs for intelligent message generation and response handling — production-grade reliability with rate-limit management.
Architected PostgreSQL + Redis infrastructure handling real-time sync across X, Discord, Bluesky — OAuth 2.0 flows and GDPR compliance from day one.
Implemented background worker systems for high-concurrency message processing with idempotent job handling and comprehensive error recovery.
Full Git workflow: feature branches, PR reviews, CI/CD via GitHub Actions, zero-downtime deployments to Vercel.

React / Next.js TypeScript Python LLM APIs PostgreSQL Redis Git / GitHub OAuth 2.0 Vercel

AI/ML Engineer (Personal Projects)

Freelance

2019 – Present

Developed algorithmic trading bot with advanced ML models (Python, pandas, scikit-learn) — automated equity execution with risk management.
Built data pipelines for real-time market analysis, backtesting frameworks, and performance optimization.
Implemented comprehensive error handling, logging, and monitoring for production ML systems.
Managed all code via Git with structured branching strategy and version-controlled model training pipelines.

Python Machine Learning Algorithm Design Pandas / NumPy Git Data Pipelines

Aircraft Handler / Quality Control

DHL, Leipzig

Feb 2024 – Present

Safety-critical operations in highly regulated aviation environment — systematic process adherence and quality control.
Deviation detection against EU safety standards — precise execution under time pressure.

Quality Control Process Adherence Compliance

Warehouse Team Lead

Amazon Return Center TUS1, Leipzig

Oct 2017 – Nov 2021

Led 50+ associates in high-volume operations — introduced standardized control processes that measurably reduced error rates.
Process optimization through systematic bottleneck analysis — operationalized improvements at scale.

Team Leadership Process Improvement Operations

Projects

What I've built

Production systems with real users, real data, and real uptime requirements.

⚡

Featured

Wekeke.com — AI-Powered Creator Platform

Production SaaS for automated DM management with LLM-powered message generation. Built solo in 4 months — TypeScript frontend, Python backend services, full CI/CD pipeline.

LLM API integration for intelligent response generation with context awareness
Multi-platform OAuth 2.0 flows (X, Discord, Bluesky) with rate-limit handling
PostgreSQL system of record + Redis queue for async background jobs
Git-managed codebase: feature branches, PR reviews, automated testing, zero-downtime deploys
Comprehensive monitoring: logs, health checks, error tracking, retry logic

React / Next.js TypeScript Python LLM APIs PostgreSQL Redis Git / GitHub Actions

System Stats

Uptime 99.9%

AI/ML Integration Production LLMs

Git-Managed Full CI/CD

Live in production

🤖

ML Trading Bot

Algorithmic trading system with ML-powered decision models — Python-based with real-time data pipelines and automated execution.

Advanced ML models (scikit-learn) for pattern recognition
Real-time data ingestion and feature engineering
Comprehensive backtesting and risk management
Production monitoring and error recovery

Python Machine Learning Pandas Git

📊

Data Analytics Dashboard

Internal analytics platform for operations insights — SQL-powered KPI aggregations with real-time data refresh and drill-down capabilities.

PostgreSQL query optimization for large datasets
TypeScript frontend with interactive charting
Background polling and cache invalidation
Git-based deployment pipeline

TypeScript PostgreSQL Data Viz Git

Skills

What I work with

Production-tested technologies. Everything here has been used to ship real systems.

Languages & Core

Python

TypeScript

JavaScript ES6+

Git / GitHub

Frontend & UI

React / Next.js

HTML / CSS

Tailwind / Modern CSS

Backend & Data

Node.js

PostgreSQL

Redis / Queues

REST APIs / OAuth

AI/ML & Data Science

LLM APIs

scikit-learn

Pandas / NumPy

Algorithm Design

DevOps & Infrastructure

Linux / Bash

GitHub Actions

Vercel / CI-CD

Monitoring / Logging

Methodologies

Git Workflow

Systems Design

Testing & QA

Documentation

Featured Project

Production AI system.
Built solo in 4 months.

Wekeke.com — Full-stack SaaS with LLM-powered automation. Real users, real uptime, real constraints. TypeScript frontend, Python services, PostgreSQL + Redis infrastructure, comprehensive CI/CD. This is what I do with a deadline and a vision.

Visit Wekeke.com →

4mo

Concept to production v1

Live API integrations (X, Discord, Bluesky)

99.9%

Uptime since launch

LLM-powered message generation

Builder. Operator.Systems thinker.

Where I've worked

What I've built

What I work with

Production AI system.Built solo in 4 months.

Open for Technical Development roles

Builder. Operator.
Systems thinker.

Production AI system.
Built solo in 4 months.