Benedikt Vogler

Benedikt S. Vogler

ML & Founding engineer

Based in Munich, Germany, I am a certified Kubernetes Application Developer specializing in scalable backend systems and machine learning solutions. With extensive experience in healthcare technology and AI applications, I focus on developing robust, data-driven solutions.

Professional Experience

Lead Backend & ML Engineer at iAtros (Acquired by avi)

10/2020 - 08/2024

  • Led the disruption of German healthcare through data-driven therapy solutions
  • Key contributor to the company's successful exit to avi
  • Built and scaled cloud-native architecture using Django/Python
  • Managed backend team and led machine learning research initiatives
  • Oversaw data privacy compliance and technical architecture

Co-Founder - Deep Tech Hardware Startup

09/2024 - 12/2024

Led digitalization initiatives for primary aluminium smelters through custom sensor development and integration.

Co-Founder - Portrait To Go

05/2023 - 08/2024

Led development of a GenAI Software-as-a-Service product for professional headshots.

Freelance Developer - Dog Owner SaaS (Current)

04/2025 - Present

  • Developing a SaaS product for dog owners to track and manage their pets' health and activities
  • Designing intuitive user interfaces for mobile and web

Technical Expertise

Product

Figma, HTML, CSS, HTMX, UX design

Backend & Cloud

Python (Django, Flask), GCP, Linux, Kubernetes

AI/ML

PyTorch, TensorFlow, LLMs, RAG, NEST-simulator (contributor)

DevOps

Kubernetes (CKAD certified, validation code LF-xkq4stzbk1), k3s, fluxCD, Gitlab CICD, Docker

Database Systems

PostgreSQL, MongoDB, Redis, FHIR

Computing

C/C++, Go, Swift, Java, Python

Languages

German (Native), English (Professional), French/Russian/Chinese (Basic)

Earlier Experience

Research Engineer - LMU Munich

10/2017 - 03/2019

Integrated augmented reality, eye-tracking, and robotics into real-time C++ systems at the Chair of Clinical Neuropsychology.

Software Engineer - KlimaHelden

01/2020 - 05/2020

Early startup employee developing full-stack solutions.

ML Consultant for Mobile Computer Vision Project

01/2020 - 04/2020

Developed and optimized deep learning models for iOS app deployment.

Education

M.Sc. Robotics, Cognition, Intelligence

Technical University Munich (2017 - 2020)

Thesis: Training of Spiking Neural Networks with Reinforcement Learning

B.Sc. Computer Science and Media

Bauhaus Universität Weimar (2013 - 2017)

Project Archive

Research & publications

Game Development

Wurfel Engine

Open source isometric game engine

Project Site

Caveland

Local multiplayer indie game showcasing engine capabilities

Source Code

Scientific Projects and Open Source Contributions

  • k8s RunPod Kubelet

    deploy GPU jobs via kubernetes scheduling to RunPod.

  • MoloVol

    is a software for chemists. I brought the native desktop application to the web with a back-end and in a newer version with edge computing via WASM. I also wrote an experimental GPU accelerated voxel renderer using OpenCL.

  • Nest

    is a spiking neural network simulator. I worked on the Python interface and improvements for real-time control.

Own Projects

Mobile & app development

  • MoodAssist

    iOS and watchOS mood tracking assistant (formerly in App Store)

  • iHaus Prototype

    App Prototype for iHaus

Research Documentation

Early Publications