HELEN DAWIT WELDEMICHAEL
Weimar
Summary
Digital Engineering professional specializing in Machine Learning and Computer Vision, with a background in research experience in dataset quality, computer vision data curation, and model development.
• Dataset curation: Curating and evaluating structural-inspection image datasets across five civil-infrastructure categories, using systematic criteria for image quality, visual diversity, and inspection conditions for publication.
• Machine-learning development: Translated a research theoretical Rational approximation classification algorithm into a working end-to-end model, overcoming a long-standing implementation challenge for many semesters and achieving approximately 90% accuracy for MNIST detection.
• Data–model understanding: Combining practical experience in dataset preparation and quality assessment with hands-on model development, providing an understanding of how training-data characteristics influence model performance and generalization.
Overview
3
3
Languages
1
1
Certification
10
10
years of professional experience
Work History
Student Research Assistant – Computer Vision & Machine Learning
Bauhaus-Universität Weimar
Weimar
06.2026 - Current
- Improve the quality and suitability of datasets used for machine-learning-based visual inspection of civil infrastructure.
- Develop structured criteria for evaluating and selecting images according to image quality, structural context, visual diversity, and inspection conditions.
- Analyze image characteristics including resolution, sharpness, brightness, contrast.
- Investigate how differences can introduce dataset bias and distribution shifts, with the goal of supporting better model generalization.
- Develop reproducible tagging criteria and annotation guidelines to enable consistent classification of image characteristics across annotators.
- Design data-quality validation procedures combining automated image-quality measurements and systematic human assessment.
- Analyze UAV imagery and structural-defect datasets to identify visual characteristics relevant to reliable computer-vision-based defect detection.
- Translate engineering inspection requirements into structured, machine-learning-oriented dataset specifications and quality-control procedures.
Mathematics and Physics Teacher
Addis Ababa, Ethiopia
10.2019 - 05.2023
- Designed and delivered mathematics and physics curricula integrating theoretical concepts with practical applications.
- Presented complex mathematical and physical concepts in a clear, structured, and accessible manner.
- Developed instructional materials and assessment methods to evaluate analytical and quantitative skills.
- Applied systematic problem-solving, quantitative reasoning, and structured analysis to teaching and assessment.
Civil Engineer
Governmental Company
Eritrea
02.2018 - 07.2019
- Supervised construction activities for a dam project and monitored progress in accordance with engineering requirements and quality standards.
- Coordinated construction resources and monitored implementation of project activities.
- Conducted quality-control activities and addressed technical issues arising during construction.
- Applied civil engineering principles to construction planning, site supervision, quality assurance, and technical decision-making.
Assistant Engineer
Governmental Company
Halhale, Eritrea
10.2016 - 02.2018
- Conducted inspections of dam and spillway structures and documented technical observations.
- Analyzed engineering data to support technical assessments and project-related decision-making.
- Supported construction monitoring and quality-control activities.
- Applied structural engineering principles to the assessment and monitoring of infrastructure.
Education
M.Sc. - Digital Engineering – Specialization in Machine Learning
Bauhaus-Universität Weimar
Weimar, Germany10-2027
B.Sc. - Civil Engineering
Eritrean Institute of Technology
Eritrea07-2016
Skills
- Programming: Python, MATLAB, C#, Java
- Machine Learning & Data Science: Machine Learning, Deep Learning, Statistical Modeling, Probability, Hypothesis Testing, Data Analysis, Model Training, Model Evaluation
- Computer Vision: Computer Vision, Image Analysis, Image Processing, Object Recognition, Image Segmentation, Photogrammetry, 3D Reconstruction
- Dataset Engineering: Dataset Curation, Data Quality Assessment, Image Quality Analysis, Data Annotation, Tagging Criteria, Dataset Diversity, Generalization Analysis
- Python Libraries & Frameworks: NumPy, Pandas, scikit-learn, PyTorch
- Civil & Structural Engineering: Structural Analysis, Finite Element Analysis, Structural Inspection, Construction Quality Assurance
- Engineering Software: MATLAB, AutoCAD
Certification
- Deep Learning with PyTorch: Image Segmentation, Coursera, Apr 2026
- Annotate and Analyze Objects for Vision, Coursera, Apr 2026
- Fine-Tuning for LLMs, IBM, Mar 2026
- Python Project for Data Science, IBM, Mar 2026
- ChatGPT + Excel: Master Data, Make Decisions, Tell Stories, Vanderbilt University, Mar 2026
- Transform Engagement into Customers, Google, Mar 2026
- Web Development – HTML & CSS, Opportunities Industrialization Center, Addis Ababa, Jan 2023
- Quality Assurance of Construction Materials, Piccini Company, Eritrea, Feb 2019
Languages
English C1
German A2.1
Tigrinya Native
Additional Competencies
- Strong level of analytical and quantitative problem-solving
- Very patient, persistent, and self-disciplined
- Interdisciplinary engineering and data-driven thinking
- critical analysis
- Structured research
- technical documentation
Timeline
Student Research Assistant – Computer Vision & Machine Learning
Bauhaus-Universität Weimar
06.2026 - Current
Mathematics and Physics Teacher
10.2019 - 05.2023
Civil Engineer
Governmental Company
02.2018 - 07.2019
Assistant Engineer
Governmental Company
10.2016 - 02.2018
B.Sc. - Civil Engineering
Eritrean Institute of Technology
M.Sc. - Digital Engineering – Specialization in Machine Learning
Bauhaus-Universität Weimar