Izabela (Dr.) Kamińska
Freelance & Career Transition Projects
Experience
Freelance & Career Transition Projects
- Hands-on work in data annotation, dataset QA, and labeling tools (Label Studio, CVAT)
- Conducted manual and automated checks on dataset integrity, annotation consistency, and labeling precision
- Strengthened Python, SQL, and visualization skills for data-driven evaluation of AI systems
- Developed documentation and guidelines for data annotation workflows to ensure reproducibility and clarity
Junior Research Group Leader
LMU Munich
- Led interdisciplinary R&D projects in materials science and biosensing, managing data analysis, reporting, and collaboration across institutes
- Translated scientific objectives into structured, data-driven project plans and quality control pipelines
- Ensured precision in data collection, analysis, and documentation, fostering reproducibility and process efficiency
- supervised researchers, reviewed experimental datasets, and provided feedback to maintain research standards
Postdoctoral Researcher
- Developed advanced analytical methods for biosensing and energy applications, improving data accuracy and reproducibility
- Initiated new research directions linking nanotechnology and diagnostics, securing grants and collaborations
- Built lab infrastructure and mentored early-career researchers, laying the foundation for later leadership roles
Industries Experience
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Experienced in Biotechnology (11 years), Energy (7.5 years), Education (3.5 years), and Information Technology (1 year).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Research and Development (12 years), Quality Assurance (4.5 years), and Project Management (3.5 years).
Summary
Physicist transitioning from academic research to AI and data-driven roles, combining a strong analytical mindset with hands-on experience in data annotation and quality assurance. Skilled in evaluating and structuring complex information with high attention to detail and accuracy. Experienced in research data workflows, process documentation, and cross-disciplinary collaboration. Currently developing deeper expertise in Python, SQL, and machine learning to contribute to high-quality data pipelines and the improvement of AI systems through precise evaluation and feedback.
Skills
- Data Annotation & Qa | Task Evaluation · Content Auditing · Guideline Compliance · Data Validation · Feedback Documentation
- Analytical & Technical | Python · Sql · Excel · Tableau · Dataset Structuring · Visualization · Data Workflow Design
- Scientific Expertise | Physics & Chemistry (Ph.d.) · Experimental Design · Research Data Interpretation · Technical Documentation
- Ai & Ml Foundations | Prompt Evaluation · Data Quality Assessment · Model Output Verification · Generative Ai Understanding
- Collaboration & Process | Cross-functional Teamwork · Clear Communication · Mentoring · Attention To Detail · Adaptability
Languages
Education
M.Sc., Physics · Physics · Gdańsk, Poland
Ph.D., Chemical Sciences · Chemical Sciences · Warsaw, Poland
Ph.D., Micro- and Nanotechnologies · Micro- and Nanotechnologies · Lille, France
Certifications & licenses
Mathematics For Machine Learning
Coursera
IBM Data Analyst Professional Certificate
Coursera
IBM Machine Learning Professional Certificate
Coursera
Profile
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