I contributed to GPHIN's modernization initiative across two streams: legacy system analysis and new platform development. This involved deep technical investigation of the existing codebase, translating findings into structured documentation, and applying those insights to early development work on a modernized stack. I also designed and built an experimental NLP pipeline feature as a proof-of-concept, scoped with the understanding that production deployment would require extensive privacy review, regulatory compliance, and bias auditing. Throughout, I applied statistical analysis techniques to assess and improve signal quality in the detection pipeline.