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  4. Ramona Kühlechner

Qualified Editor with Academic and Practical Expertise

Ramona Kühlechner

Coaching, Proofreading & Editing

"Those who do not honor the small are not worthy of the great."

Academic Title:

Graduate Engineer 

Completed Assignments:

> 100

Professional Experience:

> +5 Years

Fields of Expertise:

  • Deep Learning
  • Machine Vision and Computer Vision
  • Industrial Quality Assurance
  • Automation Technology
  • Electrical Engineering
  • Manufacturing Technology/Metalworking

Empirical Strengths:

  • Process and Quality Management
  • Scientific Writing and Publishing
  • Technical Documentation

Tools & Software:

  • MS Word
  • LaTeX
  • Python
  • R
  • SQL
  • Excel
  • TensorFlow
  • PyTorch
  • Keras
  • OpenCV
  • Pandas
  • NumPy

Languages:

  • German
  • English
  • Thai
Ramona’s corrections significantly improved my bachelor’s thesis. She strengthened the overall structure without changing my original ideas.
Elina
University of Zurich – Educational Science – Bachelor Thesis
Thanks to Ramona, I submitted my master’s thesis with precise language. Her suggestions were clear and very helpful.
Robin
University of Basel – Chemistry – Master’s Thesis
Ramona professionally revised my MBA thesis. She improved the structure without changing my writing style.
Andrea
HWZ – MBA in Finance – MBA Thesis
Ramona supported my CAS paper with great care. I especially appreciated her clear wording suggestions.
Isabel
ZHAW – CAS in Supply Chain Management – CAS Paper
My diploma thesis greatly benefited from Ramona’s feedback. She brought structure and linguistic clarity to the text.
Christian
University of Applied Sciences Graubünden – Architecture – Diploma Thesis

Background:

Ramona Kühlechner holds a degree in electrical engineering and automation technology and is currently pursuing her Ph.D. at the University of Salzburg in the field of Digital & Analytical Sciences, with a focus on AI & Human Interfaces. Her research focuses on machine vision, computer vision, and AI-supported industrial systems.
In addition to her academic work, she has practical experience in industry, research, and quality management. Among other things, she has worked in production engineering, process optimization, quality engineering, and research projects on AI-supported analysis of industrial components. As a result, she combines scientific precision with a deep understanding of technical and industrial application contexts.
As an independent researcher, author, editor, and scientific reviewer, she supports academic and technical texts with a particular focus on methodological rigor, clear argumentation, methodological transparency, and linguistic precision. Her publications with Springer and De Gruyter Brill, as well as her work as a reviewer for international academic journals, underscore her expertise in scientific research and publishing.