Recommended expert
Izabela (Dr.) Kamińska
Freelance & Career Transition Projects
Experience
Mar 2025 - Present
11 monthsFreelance & 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
Sep 2021 - Feb 2025
3 years 6 monthsMunich, Germany
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
Apr 2014 - Sep 2021
7 years 6 monthsPoland
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
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
Polish
NativeEnglish
AdvancedGerman
IntermediateEducation
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M.Sc., Physics · Physics · Gdańsk, Poland
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Ph.D., Chemical Sciences · Chemical Sciences · Warsaw, Poland
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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
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