Thomas Blank's Resume

Thomas Blank's profile picture

About

I'm a senior software engineer specializing in ML infrastructure. At Bosch, I co-created xflow — a modular training and deployment framework adopted by 10+ teams. I care about clean architecture, reproducible systems, and making ML work reliably outside the lab.

Work Experience

Sabbatical & focused learning

  • Intentional break after several years in automated driving — traveling and going deep on AI engineering, LLMs, and agent-based workflows.

Senior Software Engineer - Machine Learning

  • Architected and co-created xflow, a modular ML training and deployment framework now used by 10+ teams across Bosch.
  • Designed and optimized data and model pipelines, reducing training iteration cycles from days to hours and cutting associated compute costs.
  • Contributed to migrating the perception stack from single-view CNNs to a multi-view spatio-temporal architecture, enabling detection of edge cases the previous system couldn't handle.
  • Engineered reproducible training and inference workflows with Docker, AzureML, and CI/CD integration.
  • Collaborated closely with corporate research to bring state-of-the-art models into production, including ONNX/TensorRT optimizations for embedded deployment.
  • Established team-wide best practices for code architecture and ML pipelines; owned architecture/code reviews and ran technical interviews for new engineers.

Software Engineer - Machine Learning

  • Developed and maintained model pipelines for object detection and tracking on automotive datasets.
  • Deployed and benchmarked models with TensorRT, achieving real-time inference on embedded GPUs.
  • Improved training reproducibility and evaluation by automating dataset versioning and experiment tracking.

YAZIO

2014 - 2017

Full Stack Web Developer

  • Built and maintained high-traffic web APIs (Symfony2, Redis, PostgreSQL) serving >1M monthly users.
  • Automated deployments with Ansible and implemented backend monitoring for reliability and speed.

Education

Master's Degree in Applied Computer Science, FH Erfurt

2014 - 2018
Thesis: Machine Learning based analysis of complex sign plates (object detection & semantic segmentation)

Bachelor's Degree in Applied Computer Science, FH Erfurt

2011 - 2014

Skills

  • Python
  • C++
  • Bash
  • PyTorch
  • TensorFlow
  • scikit-learn
  • ONNX
  • TensorRT
  • Linux
  • Git
  • Docker
  • Azure ML
  • CI/CD
  • Distributed Training
  • Data Pipelines
  • Experiment Tracking
  • GitHub Actions / Azure DevOps

Languages

  • GermanNative
  • EnglishFluent (C1)

Side projects

NextFlight

Flight-debrief app for paraglider and hang-glider pilots — analyzes uploaded IGC/GPX tracks entirely in the browser to produce concrete takeaways for the next flight.

  • Next.js
  • TypeScript
  • Browser-Only

Relay Mail

Fork of Thunderbird for Android with biometric app-lock (fingerprint / device credential). Built to scratch my own itch, in daily use.

  • Kotlin
  • Android
  • Biometrics