Portfolio / Selected projects
Workforce intelligence, AI applications, and practical automation. Here’s what I built, why it mattered, and the evidence behind it.
01Workforce strategy & analytics
Making complex workforce data useful for global HR decisions—from organisation structure to location strategy.
Global Tech & Operations HRBP remit; this describes the scope of support.
02Performance-review intelligence
Turning performance-review evidence into a conversation HR leaders can query.
OpenAI embeddings and RAG make performance-review evidence available through natural-language queries.
03Employee listening & applied AI
Connecting employee conversations to sentiment changes that HRBPs can investigate.
Within an initial 600+ employee population. This measures initial reach.
04HR process automation
A week of increment-letter preparation, reworked into a 15-minute scripted run.
Compared with the previous week-long preparation process. The timing refers to the scripted run.
More ways of making work better
05Pre-boarding & joining risk
Using pre-boarding engagement to surface joining-risk signals before a candidate’s start date.
Read case study: Project TED06Candidate & interview intelligence
Bringing candidate-fit and interview-quality evidence into one evaluation workflow.
Read case study: NeoHire07Semantic applicant screening
Semantic screening and ranking for high-volume recruitment.
Read case study: Sorting Hat08Sourcing intelligence
Connecting hiring history and employee performance to the next sourcing strategy.
Read case study: RecruiterMax09Internal talent discovery
Making employee skills useful for internal talent discovery and mobility.
Read case study: Project Cerebro