Professional Overview
I am an AI Data Annotator & Prompt Engineer - skilled in labeling multilingual datasets and improving AI model performance through prompt testing and quality validation. I focus on accuracy, consistency, and efficient remote collaboration while adapting to new annotation tools and workflows.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- AI Data Annotator
- Tested AI prompts
- AI training
- QC for new annotation tools and software
Key Achievements / KPIs
- Implemented an AI tool that significantly reduced Average Handling Time (AHT)
Education
Field of Study: Economics
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.