Christopher Siller

Software Engineer, M.Sc.

Download PDF version Up-to-date version of CV is available at https://ChriSil.github.io/cv

Personal photo

Skills

Python
Rust
Matlab
Linux
TensorFlow
Docker
C++
C#/.NET
TypeScript
Postman
Jupyter
Kubernetes
I'm a Software Engineer with over four years of professional experience, currently working as a Software and Data Engineer in Tirol, Austria. The focus of my current project is leveraging Big Data and Data Science to enhance the performance and reliability of industrial machinery. I have a profound interest in Machine Learning, specifically Reinforcement Learning. Its potential to revolutionize various aspects of our society is both thrilling and daunting. I am intrinsically motivated to contribute meaningfully to this field.

Professional Experience

Apr 2022 - Present

Ferchau Engineering, Innsbruck, AT

Software / Data Engineer

Part of an interdisciplinary team of Engineers, Data Scientists and Developers, creating tools to enhance the reliability of industrial engines. The team's interest revolves around leveraging machine learning techniques to extract new insights from the data at our disposal.

  • Processing and analyisis of machine and machine related data with Pandas/NumPy/SciPy.
  • Developing Data Visualization Interfaces using Flask/Dash/Plotly.
  • Backend Development and Data Availability with ClickHouse/Prefect/AWS/Lambda/SQL
  • Exploring Weibull Statistics/Predictive Maintenance/RNNs/Time Series Analysis for insights.

Python AWS Docker Kubernetes Pandas Numpy Dash

Oct 2018 – Oct 2021

Hatch Ltd., Portland, OR, USA

Software and Systems Engineer

Part of the Rail Systems Engineering group. Responsibilities revolved mainly around development and application of TrainOps© , Hatch LTKs proprietary operations and electrical network simulation software, as well as some related field work.

  • TrainOps Development: feature implementation,beta testing, real world application.
  • Postprocessing and analysis of simulation results, working on new approaches to meet high data volumes.
  • Acquisition and preprocessing of field data to build simulation scenarios.

C++ Python MatLab

Nov 2015 – Dec 2017

Siemens Transmission Solutions, Erlangen, GER

Working Student, R&D

R&D Team member, building a test facility for a high voltage DC Switch. My task was to build a virtual workbench to allow remote charging, testing and monitoring, as well as test result analysis.

LabView C++ MatLab

Oct 2014 - Jul 2015

Siemens Rail Electrification, Portland, OR, USA

Trainee, Project Engineering

Introduction to technical project management. Assisted in installing inspecting DC Substations. Facilitated automated Factory Acceptance Test (FAT) workbench for Rectifiers and DC Switchgear.

LabView MatLab Siemens NX

Jun 2012 - Sep 2014

Siemens Infrastructure and Cities, Erlangen, GER

Working Student, IT Infrastructure

Working Student in part time, helping on-site with user IT issues, migration of Operating Systems, maintenance and migration of databases and server environments.

SQL Linux VBA SharePoint Access

Education

Master of Science, Maschinenbau, Friedrich Alexander Universität Erlangen-Nürnberg [2015 - 2018]
Bachelor of Science, Maschinenbau, Friedrich Alexander Universität Erlangen-Nürnberg [2011 - 2015]

Thesis work

Masters Thesis

"Software development to calculating flight trajectories for autonomous multicopters in intralogistics"

  • This project kickstarted my passion for robotics and software engineering, especially in utilizing Open Source resources. I was tasked with building the backend for an autonomous fleet or drones, and the integration of position and vision data into flight trajectory calculations.
  • Intrafly Project, University of Erlangen
C++ Python ROS Computer Vision Object Detection
Project Thesis

"Fabrication of artficial muscles using the Aerosol-Jet-3D-Print method"

3D Print Aerosols PLC
Bachelors Thesis

"Experimental and simulative analysis of thermally conductive polymers in high power LED-systems"

FEM Analysis Thermal Condictivity

Additional Experience