Bereket W.

Key Skills

Software

Don't disclose

Top Subject Matter

LLM fine-tuning for curriculum-aligned academic exam content

Top Data Types

Text

Top Task Types

Fine-tuning

Freelancer Overview

ExamEngines | LLM Fine-Tuning Pipeline. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Science, Adama Science and Technology University (2026) and Advanced Web Development Bootcamp, Adama Science and Technology University (ASTU) (2024). AI-training focus includes data types such as Text and labeling workflows including Fine-tuning.

Labeling Experience

ExamEngines | LLM Fine-Tuning Pipeline

Don't discloseTextFine-tuning

Fine-tuned open-weights Llama models using Python-based data pipelines to create curriculum-aligned academic examination content. The work involved preparing structured training data, running LLM customization, and producing generated exam material aligned to defined curricula. This reflects hands-on AI training and supervised fine-tuning workflow design for text generation tasks. • Prepared and processed curriculum-aligned datasets in Python pipelines for LLM training. • Implemented a structured AI data pipeline to support Llama model fine-tuning. • Configured training objectives to generate examination content consistent with academic requirements. • Validated that outputs match curriculum alignment and examination formatting needs.

2024

Education

Work History