Professional Overview
As a freelance worker, I have worked on AI-related projects involving AI content evaluation, data annotation, scientific research, and quality assurance. One of my key areas of work has been evaluating AI-generated biological and life sciences content to ensure scientific accuracy, clarity, and consistency. AI Tools Used: ChatGPT – For AI-assisted research, content generation, analysis, and evaluating AI responses. Google Gemini – For research assistance, comparing AI-generated information, and content analysis. Microsoft Excel – For organizing datasets, reviewing information, and quality checks. Google Docs – For documenting findings, preparing reports, and editing content. Projects I Have Worked On: AI Biology Content Evaluation: Reviewed AI-generated explanations of genetics, microbiology, human anatomy, physiology, and biotechnology, identifying factual inaccuracies and inconsistencies. AI Data Annotation and Quality Assurance: Reviewed and categorized information, checked data quality, and assessed AI-generated outputs against project requirements. Scientific Research and Documentation: Used AI-assisted research tools to support literature reviews, organize scientific
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
