Data Scientist | Industrielle Computer Vision & Edge AI (Jetson, Hailo) | Prozessdatenanalyse | M.Sc. Maschinenbau (KIT)
Aktualisiert am 02.10.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 02.10.2026
Verfügbar zu: 100%
davon vor Ort: 25%
Computer Vision
Deep Learning
Machine Learning
Data Scientist
Python
Agentic Coding
PyTorch
OpenCV
Edge Computing
NVIDIA Jetson
Data Analysis
Docker
Linux
Amazon EC2
Amazon SageMaker
Google Vertex AI
GStreamer
Maschinenbau
Produktionstechnik
Industrie 4.0
German
native
English
professional working
Spanish
basic
Indonesian
basic

Einsatzorte

Einsatzorte

Waghäusel (+100km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

1 Jahr 9 Monate
2024-08 - 2026-04

Computer vision projects

  • embedded systems and edge deployment
  • data preparation, training, and evaluation
  • adaptive process control and optimization
  • inference based CAE
  • contribute to cloud and edge deployment of ML and DL models
  • technical sales, procurement and supplier management
  •  customer auditing
  • applying for research grants

full subsidiary of DSD Automation GmbH
1 Jahr 3 Monate
2023-06 - 2024-08

computer vision projects

Data Scientist
Data Scientist
  • embedded systems and edge deployment
  • data preparation, training, and evaluation
  • adaptive process control and optimization
  • inference based CAE
  • contribute to cloud and edge deployment of ML and DL models
  • technical sales, procurement and supplier management
  • customer auditing
  • applying for research grants
DSD Automation GmbH
Trier
1 Jahr 1 Monat
2023-04 - 2024-04

Detection of defects in three dimensional ultra sonic scans

Working Student in R&D
Working Student in R&D
  • computer vision project, goal: ?Detection of defects in three dimensional ultra sonic scans?
  • single shot detector and classification
  • data preparation, training, and evaluation
  • contribute to deployment: discussion with software developers on how the algorithm can be integrated with the system. Evaluating different model formats and settling for ONNX
SMS Group GmbH
Düsseldorf
7 Monate
2022-10 - 2023-04

Data acquirement

Intern as Data Scientist
Intern as Data Scientist
  • data processing pipeline
  • creation of data labeling guidelines
  • discussion with stakeholders on how to provide more data, and label the data better
  • comparison of different algorithms
  • interpretation of binary data format
SMS Digital GmbH
Düsseldorf

Aus- und Weiterbildung

Aus- und Weiterbildung

2021 - 03/2024

Mechanical Engineering

Master of Science (Final Grad: 1.8)

KIT Karlsruhe


Key Focus:

  • Specialization in Production Engineering
  • Master thesis: on request


2019 ? 2020

Erasmus Exchange Semester, Exchange Semester in Vigo, Spain

Universidade de Vigo


2017 ? 2021

Mechanical Engineering

Bachelor of Science (Final Grade: 2.4)

KIT Karlsruhe


Key Focus:

  • Specialization in Material Science
  • Bachelor thesis: on request


Course

  • 4five Labs Inc. ? AWS EC2 Console Control
  • Python 3 (5 months training)
  • Deep Learning, Time-Series and Prediction

Kompetenzen

Kompetenzen

Top-Skills

Computer Vision Deep Learning Machine Learning Data Scientist Python Agentic Coding PyTorch OpenCV Edge Computing NVIDIA Jetson Data Analysis Docker Linux Amazon EC2 Amazon SageMaker Google Vertex AI GStreamer Maschinenbau Produktionstechnik Industrie 4.0

Produkte / Standards / Erfahrungen / Methoden

Profile
  • I am enthusiastic about merging cutting edge Machine and Deep Learning approaches with advanced production processes and technologies to find impactful and effective solution to advance the field of physical AI.
  • My academic studies in mechanical engineering with focus points on material science, production technology, automatization and programming . Combined with my hand on experience working on Data Science And Machine Learning research projects in academic environments, working in Engineering R&D departments on integrating DL into Production and directly with customer and on customer sites deploying  gives me the ability to contribute on the fore front of Artificial Intelligence in production
  • Projects I worked on include the fields, but are not limited to, Computer Vision, Inference Based CAE, adaptive process control and optimisation through Machine Learning and more.
  • Through my work in a start up from the first hours I was able to obtain to gain experience along the full project value chain. I supported, besides my engineering role, through technical sales, solution development, customer auditing, procurement and supplier management. I as well took part in building the internal tool chain from scratch.
  • I am looking forward to collaborate in a multi-disciplinary team working on the forefront of integrating Artificial Intelligence in Engineering and production processes.
  • I value an open culture of continuous learning, mutual support and team spirit.
  • I am interested in both cutting edge research and developing pragmatic solutions for customer problems, I strongly believe in the fast paced field of Industrial AI it isS a must to integrate this two approaches


IT Knowledge

  • I am proficient in the use of Python for tasks like:
    • data processing/wrangling
    • image libraries (OpenCV)
    • training deep learning models with PyTorch
    • machine learning (insert framework)
    • collaborate via Git
  • model training via cloud computing (AWS)
  • basics on generative AI applications
  • embedded computing, Raspberry Pi, NPU inference


Achievements

  • Supported the building of a new start up with building the internal tool chain, supporting first sales and customer aquierement, takingacentral rolein the delopment process of our first products from intital development, prototypbuilding testing in field, sales and successful deployment
  • during my internship, I brought a visual analytics model to a production-ready state and deployed it for the customer
  • contributing to the research cluster champI4.ons with my master thesis


What I am good at

  • structured problem solving on my own, breaking large problems into smaller problems, finding solutions systematically
  • team work and cross fieldcollaboration
  • self-motivating, showing interest in technical problems of all kinds
  • self-sufficient learning, researching the state-of-the-art
  • computer vision problems and geometrical thinking


Skills I want to improve in:

  • grow software development skills towards full stack machine learning engineering
  • sharpening my technical profile to reach senior level experience

Einsatzorte

Einsatzorte

Waghäusel (+100km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

1 Jahr 9 Monate
2024-08 - 2026-04

Computer vision projects

  • embedded systems and edge deployment
  • data preparation, training, and evaluation
  • adaptive process control and optimization
  • inference based CAE
  • contribute to cloud and edge deployment of ML and DL models
  • technical sales, procurement and supplier management
  •  customer auditing
  • applying for research grants

full subsidiary of DSD Automation GmbH
1 Jahr 3 Monate
2023-06 - 2024-08

computer vision projects

Data Scientist
Data Scientist
  • embedded systems and edge deployment
  • data preparation, training, and evaluation
  • adaptive process control and optimization
  • inference based CAE
  • contribute to cloud and edge deployment of ML and DL models
  • technical sales, procurement and supplier management
  • customer auditing
  • applying for research grants
DSD Automation GmbH
Trier
1 Jahr 1 Monat
2023-04 - 2024-04

Detection of defects in three dimensional ultra sonic scans

Working Student in R&D
Working Student in R&D
  • computer vision project, goal: ?Detection of defects in three dimensional ultra sonic scans?
  • single shot detector and classification
  • data preparation, training, and evaluation
  • contribute to deployment: discussion with software developers on how the algorithm can be integrated with the system. Evaluating different model formats and settling for ONNX
SMS Group GmbH
Düsseldorf
7 Monate
2022-10 - 2023-04

Data acquirement

Intern as Data Scientist
Intern as Data Scientist
  • data processing pipeline
  • creation of data labeling guidelines
  • discussion with stakeholders on how to provide more data, and label the data better
  • comparison of different algorithms
  • interpretation of binary data format
SMS Digital GmbH
Düsseldorf

Aus- und Weiterbildung

Aus- und Weiterbildung

2021 - 03/2024

Mechanical Engineering

Master of Science (Final Grad: 1.8)

KIT Karlsruhe


Key Focus:

  • Specialization in Production Engineering
  • Master thesis: on request


2019 ? 2020

Erasmus Exchange Semester, Exchange Semester in Vigo, Spain

Universidade de Vigo


2017 ? 2021

Mechanical Engineering

Bachelor of Science (Final Grade: 2.4)

KIT Karlsruhe


Key Focus:

  • Specialization in Material Science
  • Bachelor thesis: on request


Course

  • 4five Labs Inc. ? AWS EC2 Console Control
  • Python 3 (5 months training)
  • Deep Learning, Time-Series and Prediction

Kompetenzen

Kompetenzen

Top-Skills

Computer Vision Deep Learning Machine Learning Data Scientist Python Agentic Coding PyTorch OpenCV Edge Computing NVIDIA Jetson Data Analysis Docker Linux Amazon EC2 Amazon SageMaker Google Vertex AI GStreamer Maschinenbau Produktionstechnik Industrie 4.0

Produkte / Standards / Erfahrungen / Methoden

Profile
  • I am enthusiastic about merging cutting edge Machine and Deep Learning approaches with advanced production processes and technologies to find impactful and effective solution to advance the field of physical AI.
  • My academic studies in mechanical engineering with focus points on material science, production technology, automatization and programming . Combined with my hand on experience working on Data Science And Machine Learning research projects in academic environments, working in Engineering R&D departments on integrating DL into Production and directly with customer and on customer sites deploying  gives me the ability to contribute on the fore front of Artificial Intelligence in production
  • Projects I worked on include the fields, but are not limited to, Computer Vision, Inference Based CAE, adaptive process control and optimisation through Machine Learning and more.
  • Through my work in a start up from the first hours I was able to obtain to gain experience along the full project value chain. I supported, besides my engineering role, through technical sales, solution development, customer auditing, procurement and supplier management. I as well took part in building the internal tool chain from scratch.
  • I am looking forward to collaborate in a multi-disciplinary team working on the forefront of integrating Artificial Intelligence in Engineering and production processes.
  • I value an open culture of continuous learning, mutual support and team spirit.
  • I am interested in both cutting edge research and developing pragmatic solutions for customer problems, I strongly believe in the fast paced field of Industrial AI it isS a must to integrate this two approaches


IT Knowledge

  • I am proficient in the use of Python for tasks like:
    • data processing/wrangling
    • image libraries (OpenCV)
    • training deep learning models with PyTorch
    • machine learning (insert framework)
    • collaborate via Git
  • model training via cloud computing (AWS)
  • basics on generative AI applications
  • embedded computing, Raspberry Pi, NPU inference


Achievements

  • Supported the building of a new start up with building the internal tool chain, supporting first sales and customer aquierement, takingacentral rolein the delopment process of our first products from intital development, prototypbuilding testing in field, sales and successful deployment
  • during my internship, I brought a visual analytics model to a production-ready state and deployed it for the customer
  • contributing to the research cluster champI4.ons with my master thesis


What I am good at

  • structured problem solving on my own, breaking large problems into smaller problems, finding solutions systematically
  • team work and cross fieldcollaboration
  • self-motivating, showing interest in technical problems of all kinds
  • self-sufficient learning, researching the state-of-the-art
  • computer vision problems and geometrical thinking


Skills I want to improve in:

  • grow software development skills towards full stack machine learning engineering
  • sharpening my technical profile to reach senior level experience

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