Robel M.

Key Skills

Software

Other

Top Subject Matter

Software quality assurance (crowdsourced testing) for web and mobile applications

Structural engineering documentation (not AI/data labeling)

Data analytics training (classification and dataset interpretation)

Top Data Types

Text

Computer Code Programming

Document

Top Task Types

Classification

Entity (NER) Classification

Freelancer Overview

Software QA Tester (Crowdsourced Platforms), Freelance / uTest-style projects. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Bahirdar University (2024). AI-training focus includes data types such as Text and labeling workflows including Classification and Entity (NER) Classification.

Labeling Experience

Software QA Tester (Crowdsourced Platforms), Freelance / uTest-style projects

OtherTextClassification

Conducted crowdsourced QA testing activities that required structured evaluation of application behavior and defect reporting. Focused on identifying issues, documenting them clearly, and following test cases and quality guidelines. Used observed software outcomes to classify and report defects for resolution in web and mobile environments. • Reviewed requirements and executed functional/exploratory test scenarios • Identified defects and produced clear reproduction steps • Followed structured test cases and quality guidelines • Maintained attention to detail for accurate defect documentation

2026 - Present

Data Analytics Learner (Training Stage), IBM SkillsBuild / Online learning

OtherTextEntity (NER) Classification

Completed IBM SkillsBuild data analytics training with a focus on learning data classification, manipulation, and visualization concepts. Practiced analysis using structured datasets and worked on interpreting and presenting data insights. This training supports preparation for data labeling and downstream AI workflows requiring organized datasets. • Studied data classification and manipulation methods • Practiced data analysis on structured datasets • Learned statistical methods for decision-making • Developed skills interpreting and presenting data insights

2025 - Present

Freelance Structural Engineer, Self-employed / Project-based work

OtherTextClassification

Performed project-based engineering work that involved preparing and documenting design information rather than explicit AI/data labeling tasks. This experience mainly focused on structural design outputs and compliance with engineering practices. No clear data labeling, annotation, or AI training deliverables were described. • Prepared structural drawings and design documentation • Performed load analysis and structural calculations • Ensured compliance with standard engineering practices • Worked on residential and administrative building projects

2024 - 2024

Education

Work History