Responsible for testing AI/ML models integrated into the Order Management System for Narmans/Sainsbury. Performed neural network testing, evaluated ML algorithms, validated data preprocessing, and ensured fairness, bias mitigation, and compliance with AI standards. Validated end-to-end data flows and ETL pipelines, data migration, and big data processing using Azure Data Factory, Data Lake, and Databricks. Executed complex SQL queries for data integrity and validated data processing. Used Python, SQL, Azure Data Factory, Data Lake, Databricks, TensorFlow, PyTorch, Selenium, and JIRA. Assessed AI system compliance with industry standards and ethical AI practices; identified AI risks and ensured explainability.

AI/ML tester at The Hut Group (Look Fantastic)

December 31, 2023 - October 9, 2025

Conducted testing of ML models used in Look Fantastic’s recommendation engine and personalization algorithms. Validated data preparation, model training, bias detection, and performance evaluation using TensorFlow and PyTorch. Performed ETL testing, data migration validation, and data flow validation with Azure Data Factory, Data Lake, and Databricks. Assessed AI-powered ecommerce solutions for compliance with ethical AI guidelines; differentiated between AI and ML testing methodologies; evaluated model fairness and conducted risk assessments. Leveraged AI-based automation to optimize regression suites, detect UI anomalies, predict defects, and enable automated test case generation for enhanced system reliability across web and mobile platforms, covering product recommendations and dynamic pricing.