Summary
Overview
Work History
Education
Skills
Disclaimer
Timeline
Generic
Max Rudeck

Max Rudeck

Process Developer For Machine Learning And Computer Vision
Boebingen

Summary

Professional and results-driven specialist with background in process development and process engineering. Skilled in identifying inefficiencies and root causes in data-driven processes. Known for strong team collaboration and adaptability to changing needs, ensuring reliable and consistent performance.

Overview

8
8
years of professional experience
9
9
years of post-secondary education

Work History

Process Developer ML / CV

ZEISS
05.2025 - Current
  • Development of computer vision-based measuring processes
  • Planning of research projects and leading project teams
  • Data Analysis of complex image data

Production & IoT Engineer - Data Science and SPC

Carl Zeiss SMT GmbH
11.2022 - Current
  • SPC Rollout
  • Data Driven Software Development
  • 3xPOB & 5xPOB Passedata based Machine Learning

Master’s Thesis

Hensoldt Optronics GmbH
04.2022 - 10.2022
  • A Survey of Scene Based Non-Uniformity Correction Algorithms

Research Associate

University of Aalen
10.2020 - 06.2022
  • Development of intelligent quality control systems
  • Planning and execution of experiments
  • Research Group Predictive Maintenance

Working student

Robert Bosch Automotive Steering GmbH
08.2019 - 08.2020
  • Development of software prototypes
  • Further development of existing applications

Intern

ANDREAS STIHL AG & Co. KG
09.2018 - 02.2019
  • Creation of a complex project expense tool in Microsoft Excel
  • Test Management and site rollout for CISCO Telephony
  • Carrying out a proof of concept for optical signaling of the presence status of employees in the open-plan office

Working student

Carl Zeiss AG - Corporate Information Technology
04.2018 - 08.2018
  • Various tasks in the productive SAP CRM system
  • Listing of all change requests according to locations

Student Assistant

Honold Industrie Logistik GmbH - Zeiss Logistikzentrum
10.2017 - 01.2018
  • Various logistics transactions in SAP EWM
  • Systemic and physical treatment of goods
  • Error control, correction and reporting
  • Creation of various FAQs as well as an instructional video

Education

M.Sc. - Machine Learning and Data Analytics

Aalen University of Applied Sciences
03.2020 - 10.2022

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KOREATECH
03.2019 - 08.2019

B.Sc. - Business Information Systems

Aalen University of Applied Sciences
09.2016 - 08.2020

Social Security Clerk

AOK Baden-Württemberg
09.2014 - 08.2016

Skills

Python

Javascript

SQL Databases

NoSQL Databases

System Design

Project Management

Computer Vision

Machine Learning

Six Sigma

Project coordination

Process development

Stakeholder management

Disclaimer

Boebingen (Rems), November 14, 2024

Timeline

Process Developer ML / CV

ZEISS
05.2025 - Current

Production & IoT Engineer - Data Science and SPC

Carl Zeiss SMT GmbH
11.2022 - Current

Master’s Thesis

Hensoldt Optronics GmbH
04.2022 - 10.2022

Research Associate

University of Aalen
10.2020 - 06.2022

M.Sc. - Machine Learning and Data Analytics

Aalen University of Applied Sciences
03.2020 - 10.2022

Working student

Robert Bosch Automotive Steering GmbH
08.2019 - 08.2020

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KOREATECH
03.2019 - 08.2019

Intern

ANDREAS STIHL AG & Co. KG
09.2018 - 02.2019

Working student

Carl Zeiss AG - Corporate Information Technology
04.2018 - 08.2018

Student Assistant

Honold Industrie Logistik GmbH - Zeiss Logistikzentrum
10.2017 - 01.2018

B.Sc. - Business Information Systems

Aalen University of Applied Sciences
09.2016 - 08.2020

Social Security Clerk

AOK Baden-Württemberg
09.2014 - 08.2016
Max RudeckProcess Developer For Machine Learning And Computer Vision