AI Testing & Prompt Engineer

Candidate Description

With a strong foundation in data science and engineering, this professional has cultivated expertise across AI model development, data pipeline construction and rigorous system testing. Their background spans Python-driven analytics, AWS-based architectures and Snowflake data warehousing, complemented by a Master s in Information Technology (Data Science & AI).

Adept at leveraging advanced tooling such as Airflow, Power BI and Azure Synapse Analytics, they have delivered tangible results including the successful testing of Retrieval-Augmented Generation (RAG) capabilities for a Digital Asset Management platform and the enhancement of data-quality pipelines at a Technology Company. Hands-on experience covers ETL data integration, natural-language processing and model evaluation, supported by an AWS Certified Solutions Architect Associate credential.

Collaborative and detail-oriented, they thrive in agile, cross-functional teams, translating complex requirements into scalable, high-quality solutions. Their blend of analytical rigor, prompt-engineering insight and commitment to continuous improvement positions them to drive data-centric innovation and deliver measurable value across diverse industry challenges.