Professional Overview
Experienced AI Annotator skilled in data labelling, model evaluation, transcription, writing,and RLHF. Proficient with tools like VS Code and prompt engineering, with a proven track record of improving response accuracy and workflow efficiency. I have also comparative analysis between two different model to evaluate performance and output quality.
Experience
Employment Type
Education
Field of Study: Management
Areas of Expertise
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.