Hi, I'm

Daniel Gruner

Applied AI · Solution Architecture · Hands-on Engineering

Hands-on architect and engineer for production-grade edge AI systems

I bring AI solutions into the real world - from the initial idea and system architecture through technical implementation and integration to rollout and operations across up to 14,000 stores. I combine years of enterprise experience at Schwarz Digits with technical depth and a strong focus on execution.

Daniel Gruner
Heilbronn, DEDaniel Gruner
01About me

Who I am.

Architect and engineer for edge AI and computer vision from Heilbronn

I studied mechatronics and automotive engineering and started out as a development engineer at an automotive engineering company - working with alternative materials, prototypes, and my first chatbot, the FOXBOT. After that, I built an enterprise chatbot platform from the ground up at Schwarz IT.

Today, I work as a Senior Solution Architect & Product Engineer on edge AI and computer vision solutions for Lidl and Kaufland stores - from concept, system architecture, and implementation through integration, piloting, and rollout to scaling, operations, monitoring, maintenance, and support. After five years in technical leadership, I made a deliberate decision to refocus fully on technical deep work and building solutions.

Ever since 2019, I've always had an IT side project in the works - driven by curiosity and a desire to build the things I want to see in the world.

“

What I enjoy most: technical deep work and building solutions.

Pragmatic and hands-on - years of enterprise experience combined with technical depth and end-to-end responsibility for production-grade edge AI systems.

A few facts

Currently
Senior Solution Architect & Product Engineer @ Schwarz Digits
Experience
Engineering since 2009
Focus
Edge AI and computer vision systems across the entire lifecycle
Location
Heilbronn, Germany
02Journey

My path.

Engineer and builder by passion.

Education
2009 — 2012

Continental AG & DHBW Mannheim

B.Eng. Mechatronics · Cooperative-education student · Manufacturing engineering · Mannheim / Rheinböllen / Frankfurt / Asheville (USA)

Where it all began: brake systems, CNC, welding, robot & PLC programming, optimization projects with 3D-CAD - and a few months in the USA, developing an automated cleaning station for brake calipers.

3D-CADDevelopmentManufacturing engineeringDetails
Continental AG & DHBW Mannheim
2012 — 2014

Darmstadt University of Applied Sciences

M.Eng. Automotive Engineering · Student · Darmstadt

CAD, FEA, lightweight design, and Formula Student. Master's thesis at csi: a mechatronic kinematic air-vent system for a luxury vehicle.

Automotive3D-CAD & FEALightweight designDetails
Darmstadt University of Applied Sciences
Professional career
2014 — 2017

csi entwicklungstechnik

Development Engineer · Technology & Innovation · Neckarsulm

Applied research on shape-memory alloys in vehicles, lightweight material consulting for Lamborghini & Audi, and hand-built prototypes (3D printing, Arduino, self-soldered circuit boards). Then came the FOXBOT - my first chatbot, with facial recognition, speech recognition, TTS, and a custom dialog system.

Alternative materialsPrototypingChatbotDetails
csi entwicklungstechnik
2017 — 2020

Schwarz Digits

Software Engineer & Tech Lead · Enterprise Chatbots · Neckarsulm

Started solo (with support from DFKI Berlin) and built a small team. Took a company-wide chatbot platform from zero to go-live (Dec. 2019): React + Java Spring Boot, hybrid rule- & ML-based NLU, OAuth, and numerous enterprise integrations.

Chatbot platformEnterprise integrationTechnical LeadDetails
Schwarz Digits
2020 — 2025

Schwarz Digits

Team Lead & Solution Architect · Computer Vision Retail · Neckarsulm

Five years leading the Computer Vision Retail team - building, developing, and steering it - while remaining hands-on as a consultant and architect. Reporting up to C-level.

LeadershipComputer VisionEdge AISolution ArchitectureDetails
Schwarz Digits
2025 — present

Schwarz Digits

Senior Solution Architect · Computer Vision Retail · Neckarsulm

A deliberate step: handing over leadership to focus 100% on technical deep work, architecture, and hands-on engineering for production-grade edge AI and computer vision systems.

Technical Deep WorkComputer VisionEdge AISolution ArchitectureAutomationDetails
Schwarz Digits
03Builder mode

My side projects.

Since 2019, I've always had an IT side project in the works - driven by curiosity and a desire to turn ideas into real, working solutions.

2026Live · Active development

Stetig

Habits, todos, and daily wins in one private place

After years of tracking habits, todos, and accomplishments in separate apps (and on old envelopes), I brought them together in one deliberately simple app. Stetig shows not only what is left to do, but also what you have already achieved - with local-first storage and optional encrypted GitHub sync.

Local-firstEncrypted SyncGitHub GistCSVJSON
Stetig screenshot
Stetig screenshot
Stetig screenshot
2026Project complete

nico RSS

An AI-native news aggregator that counters information overload

Turns the daily flood of feeds into structured, prioritized knowledge. AI ranks every article based on your goals (with a learning feedback loop), writes daily & weekly digests, generates spaced-repetition flashcards, and even creates action items. Multi-provider AI (BYOK). Named after my friends Nikolas & Constantin - ni + co.

TypeScriptReactPythonFastAPIPostgreSQLLiteLLMPWADocker
nico RSS screenshot
nico RSS screenshot
nico RSS screenshot
2023 – 2026Live · No longer in development

Review Distiller

AI-powered SaaS for analyzing & monitoring customer reviews

Conceived and coded solo - system design, frontend, backend, and infrastructure - in full-stack TypeScript. It analyzes reviews from Google Maps, Play Store, App Store, and more. My real goal was to experience firsthand what it means to build, operate, and market a complex SaaS product. Biggest lesson: a product alone isn't enough - distribution and product-market fit are everything.

TypeScriptReactFastifyPostgreSQLDockerGCPTerraformGitHub CI/CDPaddlePlaywright
Review Distiller screenshot
Review Distiller screenshot
Review Distiller screenshot
2019 – 2021Project complete

Globallytics Fund No. 1

An AI-powered equity fund

Technical co-founder (with two other technical founders and a family office). I was responsible for data & ops: a complex, self-orchestrating web-scraping system, an extensive data API serving the ML model, and a full-stack web app for fund management. The family office ultimately decided to switch off the AI.

Node.jsExpressMySQLReactOAuthLinux
Globallytics Fund No. 1 screenshot
Globallytics Fund No. 1 screenshot
Globallytics Fund No. 1 screenshot

Smaller tools & open source

04Technical toolbox

What I work with

Edge AI & Computer Vision

  • Computer Vision · Edge AI
  • Camera and edge systems
  • Model and vendor integration
  • ML evaluation · Precision · Recall · F1
  • Tooling for labeling and evaluation
  • Deployment · Monitoring · Remote diagnostics

Architecture & Lifecycle

  • Use-case design · technical validation
  • System Design · Solution Architecture
  • Enterprise Integration
  • Edge-vs.-cloud architecture
  • Piloting · Rollout · Scaling
  • Operations · Maintenance · Support

Cloud & Platform

  • Google Cloud (Run · Functions · Pub/Sub)
  • Docker · Kubernetes
  • Terraform · Ansible
  • CI/CD
  • Grafana · Monitoring
  • Firebase

Product Engineering

  • AI-native cloud SaaS
  • LLM integration · RAG concepts
  • Full-stack TypeScript
  • Node.js · Fastify · Python · FastAPI
  • React · Material UI
  • PostgreSQL · Prisma · Playwright

Engineering Roots

  • Mechatronics · Automotive
  • SolidWorks · CAD
  • ANSYS · FEA
  • C#
  • Arduino · Prototyping
05Beyond the screen

My interests

My hobbies are the ‘actuate’ outside of work - flying, building, moving. The same drive, just away from the computer.

06Work with me

How I can help

Alongside my current role, I'm open to selected projects involving edge AI, computer vision, solution architecture, and technical validation.

Architecture & technical advisory

For edge AI and computer vision initiatives that need clarity on technical feasibility, system boundaries, and the path to production.

  • Assessment of edge AI and computer vision use cases
  • Edge-vs.-cloud decisions
  • Make-or-buy and vendor assessments
  • System and integration architecture
  • Pilot and evaluation concepts
  • Operations and scaling concepts

Prototypes & technical validation

For clearly scoped proofs of concept that test technical assumptions quickly and reliably.

  • Hardware and runtime environment selection
  • Integration of existing models and vendors
  • Edge-vs.-cloud benchmarks
  • Monitoring and health-check concepts
  • Internal tools and automation
  • Technical proofs of concept

Architecture reviews & technical due diligence

For an independent assessment of existing systems, technical risks, and their realistic production readiness.

  • Assessment of existing architectures
  • Rollout, operations, and support readiness
  • Integration and scalability
  • Technical risks
  • Vendor and hardware dependencies
  • Realistic production deployment
Contact

Let's talk about challenging edge AI and computer vision initiatives.

Whether it's a professional exchange, the right role, or a project: if AI in the physical world, system architecture, and hands-on engineering come together, I'd be glad to connect.