Content revision 4e771eaf0390cc87b6c7c6fd8469f3508f6ceeec7119472e6c1ccf17e2e1e5d2

## Cloud, Data & AI Consulting Intern

Experience
Source ID experience:pwc
Original https://www.henryw.me/#/experience#work-pwc

At PwC, I work on AI and data systems for financial-services and public-sector clients, combining solution architecture with hands-on development. I translate business needs into technical requirements and evaluate how existing tools can work together within the client’s constraints. Through rapid prototyping, I build and run end-to-end proofs of concept to test the proposed solution against real workflows and refine the design.

I designed a system that uses AI to identify gaps in an IT assistant’s knowledge, research the missing information and keep its knowledge base up to date. I also built a browser agent that interprets service tickets and carries out tasks in the applications the team already uses.

For an AI assistant answering public enquiries using client documents, I evaluated and integrated tools into a RAG ingestion pipeline that prepares those documents for retrieval. It preserves page-spanning content, complex tables, references and flowcharts through chunking, which divides documents into searchable passages. I also developed a DeepEval framework to evaluate classification, retrieval and response quality.

To support a data migration, I built an LLM-assisted pipeline that reverse-engineers legacy ETL code, the logic that extracts, transforms and loads data. It recovers data lineage showing where data comes from and how it changes, together with the business rules and test scenarios needed for the migration.

I evaluated enterprise document-processing systems and built workflows to recover information lost during preprocessing and support rule-based document review.

I reviewed Ethereum and stablecoin infrastructure risks for a banking engagement.