Senior Data Scientist

2/2017 – offen

Delivered machine learning projects from problem discovery to production for the following applications:
● Robotic control system using learning from human demonstration
● Camera-based vehicle damage detection and inspection of warehouse containers using deep learning
● Computer vision based product verification and detection
● Natural language models for chat support
● Bot failure prediction and anomaly detection using time series models
Developed cloud infrastructure for large-scale data processing, model training and lifecycle management (Kubernetes, Cloud GPU/TPU, GCP BigQuery, Storage, Tensorflow, Beam)
Two patent filings, consultancy of other teams in numerous robotics, computer vision and time series projects.

Google Cloud, Python, TensorFlow

9/2015 – 1/2017

Developed a platform for distributed training of reinforcement learning and deep learning algorithms in Lua/ Torch running on 10K+ machines on Google Cloud infrastructure used by several groups in the company.
Designed algorithmic changes for improving the data-efficiency and scalability of reinforcement learning algorithms and achieving state-of-the-art results in dexterous manipulation benchmarks.
First-author paper submission and a patent filing, “[...]”, P. et al., 2017.
Created techniques for using demonstration data, reward shaping and starting state exploration bootstrapping.

Python

10/2009 – 12/2014

Enwicklung von Handelssystemen

Softwareentwicklung (allg.)