Professional Overview
Informatics Engineering graduate with 6 months of AI training and data annotation experience at DataAnnotation.tech. Experienced in evaluating AI outputs, following detailed guidelines, and identifying errors. Skilled in Python, NLP, linguistics, and generative AI, with academic research using OpenAI Whisper for English speech evaluation.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Evaluated AI-generated responses for accuracy, relevance, and adherence to task
- Annotated and reviewed data used to improve AI model performance and response
- Identified errors, inconsistencies, and edge cases in AI-generated content.
- Applied detailed evaluation criteria consistently across diverse AI training tas
- Maintained high-quality annotations while working independently
Key Achievements / KPIs
- Completed AI training and evaluation tasks while maintaining consistent quality
- Developed practical experience evaluating generative AI outputs against detailed
- Consistently applied complex task guidelines to support reliable
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Evaluated AI-generated responses for accuracy, relevance, and adherence to task
- Annotated and reviewed data used to improve AI model performance and response
- Identified errors, inconsistencies, and edge cases in AI-generated content.
- Applied detailed evaluation criteria consistently across diverse AI training tas
- Maintained high-quality annotations while working independently
Key Achievements / KPIs
- Completed AI training and evaluation tasks while maintaining consistent quality
- Developed practical experience evaluating generative AI outputs against detailed
- Consistently applied complex task guidelines to support reliable
Education
Field of Study: Machine Learning, Artificial intelligence
Areas of Expertise
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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
