Experience

Torc Robotics

• United States
• Truck Transportation
• 500 - 600 Employee

• Senior Software Engineer Data Analytics

  • Feb 2023 - Present

  Data engineering and analytics for safety validation and verification of autonomous vehicles: - Filtering, transformation and interpolation of sensor or sensor-fusion outputs - Assignment with map elements (lanes, roads, traffic signs) - Discovery of safety critical scenarios by applying statistical analysis and anomaly detection Data engineering and analytics for safety validation and verification of autonomous vehicles: - Filtering, transformation and interpolation of sensor or sensor-fusion outputs - Assignment with map elements (lanes, roads, traffic signs) - Discovery of safety critical scenarios by applying statistical analysis and anomaly detection



Daimler Truck AG

• Germany
• Motor Vehicle Manufacturing
• 700 & Above Employee

• Softwareingenieur

  • Apr 2022 - Feb 2023

  Data engineering and analytics for safety validation and verification of autonomous vehicles: - Filtering, transformation and interpolation of sensor or sensor-fusion outputs - Assignment with map elements (lanes, roads, traffic signs) - Discovery of safety critical scenarios by applying statistical analysis and anomaly detection Data engineering and analytics for safety validation and verification of autonomous vehicles: - Filtering, transformation and interpolation of sensor or sensor-fusion outputs - Assignment with map elements (lanes, roads, traffic signs) - Discovery of safety critical scenarios by applying statistical analysis and anomaly detection



Bosch

• Germany
• Software Development
• 700 & Above Employee

• • Sep 2017 - Mar 2022

  Road Condition Service Project:- Analysis of spatio-temporal vehicle data in Python/Spark- Time series analysis of vehicle braking interventions (ABS/ESP)- CAN signal processing & analysis- Microservice development with Kubernetes and Docker- Implementation of data processing pipelines with Apache Airflow/Azure Batch/Azure Container Instances- Data driven road condition estimation- Image processing with OpenCV/Python- Data analysis with Azure Data Explorer (ADX)- Embedded implementation in C/C++ of machine learning models- Training and Inferencing pipelines in AzureML- Continuous integration for internal code repositories- Python package management and code lifecycle Show less

• • Jun 2021 - Nov 2021

  Radar sensor integration, data processing and algorithm development in the domain of automated driving. Strong focus on tracking and data fusion.Tools:- ROS & ROS2- mlflow for Experiment Tracking- SciPy stack for data analysis and evaluation - pybind11 for wrapping C/C++ routines



Bertrandt Group

• Germany
• Engineering Services
• 700 & Above Employee

• R&D Engineer

  • Oct 2016 - Aug 2017

  1. Data-driven modeling of emission processes and soft-sensor development for diesel-engines with neural networks (TD-MLP, RNN and LSTM/GRU architectures): - Research and selection of model input signals - Model architecture development - Implementation of above mentioned architectures in ASCET/C for embedded devices (i.e. ECUs) - Implementation of data preprocessing, training and evaluation pipelines in python/tensorflow/keras. - Time series analysis of vehicle (engine) measurements. 2. Development of data-driven State-of-Health assessment model for lithium ion cells (begin-of-life vs. end-of-life). 3. Evaluation of anomaly detection algorithms in engine control and lithium ion cell monitoring. Show less