Hi, I'm David.

Operations Engineer with a passion for AI and building things.
My goal: Driving Operations towards AI-powered and intelligent systems.

View My Work Let's Connect ↗
Scroll to Explore

My Mission

01

AI is rewriting how value is made

The spotlight is on software and content. The bigger prize sits somewhere quieter.

02

The real economy runs on operations

Factories, supply chains, production lines — built over decades of engineering and human decisions.

03

Complexity is the opportunity

Behind every shipment lies a web of processes, constraints, and hard-won experience.

04

The harder the problem, the bigger the prize

The more complex a problem, the greater the potential to change the world. In operations I see the biggest gap of all: companies collect huge amounts of data, yet struggle to turn it into real, implemented optimizations. That gap is where AI's potential is enormous.

05

Useful industrial AI must mirror reality

Operations are driven by hard constraints, and things go wrong. To succeed, the models and tools have to be trained so their data reflects the real world — not an idealized version of it.

06

My mission: Industrial Intelligence for the World

I want to build models, tools, and features that analyze operations processes better than today's methods. That's why I'm currently learning to build AI features and tools — and exploring in depth how to connect AI and operations.

David Vardic logo

Contributing to that future is what drives my work.

Ship 3 AI Products in 2026 Open to Collaborations

Experience

Education
M.Eng. Technology Management
RWU Ravensburg-Weingarten Oct 2024 – Feb 2026
  • Specialization: Business Optimization
B.Eng. Mechanical Engineering
DHBW Friedrichshafen Oct 2021 – Sep 2024
  • Specialization: Production & Management
  • Team Lead — Zukunftsfabrik Bodensee Initiative
Work
Production Engineer
ZF Friedrichshafen AG Mar 2026 – Present
  • Planning and coordinating production processes and projects
  • Driving digitalization initiatives on the shop floor
  • Identifying where AI and smart systems can deliver measurable improvements
Master's Candidate — Operations Launch Management & Strategy
ZF Friedrichshafen AG Sep 2025 – Feb 2026
  • Thesis: "Strategic Development of Performance Analysis for Operations"
  • Corporate Strategy & Launch Management division
  • Developing performance measurement frameworks across ZF's global production network
Working Student — Project Management
EBZ Sys Tec. Oct 2024 – Feb 2025
  • Logistics planning for a plant integration project at Mercedes-Benz
  • Coordinating production timelines and material flows
Cooperative Study — 5 Departments
ZF Friedrichshafen AG Oct 2021 – Oct 2024
  • Systems Engineering — ODD analysis for autonomous vehicles
  • Industrial Planning — Design & investment analysis of a coating system
  • E-Motor Systems Development — Vibration measurement process development for servo drives
  • Semester Abroad — Solihull, UK — Digital Twin validation via Hardware-in-the-Loop testing
  • Manufacturing Engineering — Bachelor's Thesis: Optimization of Production Processes for Ring Gears

Technical Expertise

The tools, methods, and systems I work with — spanning AI engineering and industrial operations.

AI & Engineering
Agentic AI Machine Learning Python RAG Statistics Mathematics REST API Process Automation Claude Code Claude Cowork n8n Microsoft Automate
Operations & Production
Lean Management MRP / MRP II TPM Operations Performance Analysis Launch Management Production Planning Design of Experiments (DoE) Value Stream Planning SAP Industrie 4.0 Supply Chain Management

Featured Projects

MRP Platform Dashboard BOM Explorer Orders AI Insights Live Sync BOM Structure Net Requirements Planned Orders Supplier Risk Lead Times AI MODULES Risk Detection Demand Forecast Reorder Advisor BOM STRUCTURE · FG-4521 FG-4521 Finished Good · Qty 400 Sub-Assembly A Sub-Assembly B Raw Mat. 1 Component X Raw Mat. 2 Component Y MRP CALCULATION Gross Requirements 450 units Stock on Hand 80 units Net Requirements 370 units Planned Order Qty 400 units Lead time: 5 working days · Auto-generated AI RISK DETECTION Supply Chain Stable All suppliers operating normally Lead Time Alert +2 days Supplier A delay detected Confidence 91% · Updated 2 min ago
MRP · AI
In Build
AI-Based MRP / MRP II System
BOM explosion, net requirements, order generation & real-time supply risk detection powered by AI.
In Build · 35% complete
LineBalance AI Dashboard Line View Optimizer Reports AI Optimised PRODUCTION LINE A · ASSEMBLY Takt: 58s TAKT 78% ST-01 85% ST-02 79% ST-03 96% ⚠ ST-04 74% ST-05 82% ST-06 PRODUCTION LINE OPTIMIZATION Before Imbalance 38% After Imbalance 7% ↑ 18% Throughput ↓ 31% Idle Time −11s Cycle Time Algorithm: Genetic + Simulated Annealing Iterations: 12,400 · Solved in 2.3s
Optimization · Algorithm
In Build
Algorithmic Line Balancing
Algorithmically distributes tasks across workstations to minimise idle time and balance takt across the line.
In Build · 20% complete

Connect With Me

Feel free to reach out — whether you want to discuss ideas around these projects, talk about AI in Operations, explore a collaboration, or just have an interesting conversation.

Baden-Württemberg, Germany