Nigus Zinabu K.

Key Skills

Software

Other

Top Subject Matter

Artificial Intelligence (LLM evaluation)

Computer Vision (dataset annotation)

Large Language Models (output analysis)

Top Data Types

Document

Text

Image

Top Task Types

Fine-tuning

Prompt + Response Writing (SFT)

Freelancer Overview

M.Sc. Artificial Intelligence & Computer Science — Key Projects (LLM output evaluation and analysis). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Science, Università della Calabria (2023) and Bachelor of Science, Mekelle University - Mekelle Institute of Technology (2018). AI-training focus includes data types such as Document, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Fine-tuning.

Labeling Experience

M.Sc. Artificial Intelligence & Computer Science — Key Projects (LLM output analysis)

OtherTextPrompt + Response Writing (SFT)

Analyzed LLM outputs as part of applied AI research to understand behavior and response quality. Compared output characteristics against desired criteria to inform further experimentation and analysis. Incorporated insights from analysis into ongoing project evaluation. • Performed qualitative/quantitative analysis of LLM responses • Assessed coherence and alignment with evaluation criteria • Used analysis results to guide iterative research • Recorded observations for project-level reporting

2023 - Present

M.Sc. Artificial Intelligence & Computer Science — Key Projects (dataset annotation for CV tasks)

OtherFine-tuning

Annotated datasets for computer vision tasks within M.Sc. projects to support training and experimental workflows. Prepared labeled training data by defining annotation targets and ensuring consistency for downstream model development. Conducted dataset analysis alongside labeling to evaluate readiness for experimentation. • Annotated computer vision datasets for training • Ensured label consistency for dataset usability • Analyzed dataset properties for downstream experiments • Supported AI training workflow through labeled data

2023 - Present

M.Sc. Artificial Intelligence & Computer Science — Key Projects (LLM output evaluation and analysis)

OtherDocument

Performed evaluation of generative LLM outputs as part of applied AI research coursework. Organized and assessed model performance using defined metrics and qualitative checks to understand coherence and quality. Documented findings in project work for subsequent analysis and iteration. • Evaluated LLM outputs for coherence and performance • Used model performance metrics for assessment • Reviewed outputs to support analysis and improvements • Produced research/project notes for reporting

2023 - Present

Education

Work History