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I have experience working as an LLM trainer with Revelo and Turing, where I worked on tasks like data labeling, prompt writing, and evaluating model responses to improve accuracy and reasoning. This gave me a good understanding of how models behave and how to improve their outputs. I also have a background in software engineering, which helps me approach tasks with strong problem-solving skills and attention to detail. In my free time, I enjoy solving coding challenges, building projects, and exploring new developments in AI.…I have experience working as an LLM trainer with Revelo and Turing, where I worked on tasks like data labeling, prompt writing, and evaluating model responses to improve accuracy and reasoning. This gave me a good understanding of how models behave and how to improve their outputs. I also have a background in software engineering, which helps me approach tasks with strong problem-solving skills and attention to detail. In my free time, I enjoy solving coding challenges, building projects, and exploring new developments in AI.

Aduna Kebede

Web Developer, Programmer, Full Stack Developer, +4

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I have experience working as an LLM trainer with Revelo and Turing, where I worked on tasks like data labeling, prompt writing, and evaluating model responses to improve accuracy and reasoning. This gave me a good understanding of how models behave and how to improve their outputs. I also have a background in software engineering, which helps me approach tasks with strong problem-solving skills and attention to detail. In my free time, I enjoy solving coding challenges, building projects, and exploring new developments in AI.…I have experience working as an LLM trainer with Revelo and Turing, where I worked on tasks like data labeling, prompt writing, and evaluating model responses to improve accuracy and reasoning. This gave me a good understanding of how models behave and how to improve their outputs. I also have a background in software engineering, which helps me approach tasks with strong problem-solving skills and attention to detail. In my free time, I enjoy solving coding challenges, building projects, and exploring new developments in AI.

Available to hire

I have experience working as an LLM trainer with Revelo and Turing, where I worked on tasks like data labeling, prompt writing, and evaluating model responses to improve accuracy and reasoning. This gave me a good understanding of how models behave and how to improve their outputs.

I also have a background in software engineering, which helps me approach tasks with strong problem-solving skills and attention to detail. In my free time, I enjoy solving coding challenges, building projects, and exploring new developments in AI.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Advanced

Work Experience

LLM Trainer – Software Engineer

February 1, 2023 - October 2, 2024

Designed AI-human interaction scenarios across HR, finance, and customer service domains; trained large language models (LLMs) to handle realistic, human-like tasks; validated task schemas; improved prompts and data quality; collaborated with teammates to refine prompts and achieve higher realism; developed end-to-end prompts and data pipelines for scalable training.

LLM Trainer – PR Writer

August 1, 2024 - January 1, 2026

Trained LLMs to analyze GitHub issues and generate PR-ready code fixes across Python projects; debugged failing tests and CI logs; reviewed outputs for code quality, type safety, and repository standards; improved prompt flow and response quality; integrated with third-party domains for tourism and booking services; positioned the platform for future growth.

AI-Driven Travel Platform (Project) at Personal / Open Project

October 1, 2024 - May 2, 2025

Managed development of a culturally immersive travel platform using Django and PostgreSQL to showcase Ethiopian destinations and heritage; AI-powered destination recommendations and heritage insights; boosted user engagement with AI-driven conversational assistants; incorporated real-time, personalized trip planning.

Tomato Disease Detection Using Machine Learning at Personal Project

October 1, 2024 - January 31, 2025

Built a CNN-based tomato disease detection model using Python, TensorFlow, Keras, and OpenCV; achieved 92% accuracy; developed a Flask web app with a responsive front-end for real-time image upload and predictions; optimized inference using TensorFlow Lite and evaluated model performance with precision, recall, F1.