Professional Overview
Data Science and Analytics with practical experience in prompt engineering, AI evaluation, technical writing, and language-focused software development. Experienced in designing, testing, and refining prompts for AI-assisted systems, evaluating model outputs, creating structured evaluation criteria, and documenting results. Built multiple A
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Execute functional regression testing suites for global software clients
- validating stability across mobile and desktop builds.
- Document defects with precise replication steps, system logs.
Key Achievements / KPIs
- Earned Testlio Certified Functional Regression Tester credential (March 2026).
Education
Field of Study: Data Science & Analytics
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
