Monitored search performance before and after releases to assess business impact.

 Designed and developed a performance dashboard enabling business stakeholders to track release outcomes, analyze search

behaviour, and monitor customer engagement.

 Developed product-attribute matching & search solutions using RAG, vector embeddings, Vertex AI Search, and Hugging Face models.

 Evaluated free-to-use Hugging Face models and optimized LLM usage to keep solutions within the planned budget.

 Built and automated data pipelines and deployment workflows using Python, SQL, Google Cloud, GitHub Actions, and Terraform.

Results & Achievements

 Increased search volume by approximately 40% and purchase volume by approximately 25% following search improvements, using

performance measures to assess the impact of product releases on customer engagement and buying behaviour.

 Engineered a self-service product-matching workflow enabling business users to submit files and retrieve processed results

Monitored search performance before and after releases to assess business impact.

 Designed and developed a performance dashboard enabling business stakeholders to track release outcomes, analyze search

behaviour, and monitor customer engagement.

 Developed product-attribute matching & search solutions using RAG, vector embeddings, Vertex AI Search, and Hugging Face models.

 Evaluated free-to-use Hugging Face models and optimized LLM usage to keep solutions within the planned budget.

 Built and automated data pipelines and deployment workflows using Python, SQL, Google Cloud, GitHub Actions, and Terraform.

Results & Achievements

 Increased search volume by approximately 40% and purchase volume by approximately 25% following search improvements, using

performance measures to assess the impact of product releases on customer engagement and buying behaviour.

 Engineered a self-service product-matching workflow enabling business users to submit files and retrieve processed results