01 / Redefined AI ranking rules
Redefined the AI rules governing candidate ranking, refining the screening and ranking logic.
CERNOVANCE / EXPERTISE
Selected experience
Anonymised prior founder experience and areas of expertise. Personal prior work is not a CernoVance client engagement; planning and design do not imply a complete rollout or quantified results.
Collaboration case
StarPlan AI | Resume screening and ranking optimisation
For StarPlan AI’s resume screening system, we redefined the AI ranking rules and optimised resume information extraction. The project reduced server costs by more than AUD 7,000 in a single month.
02 / Optimised resume information extraction
Optimised the resume information extraction stage and improved the screening system’s information-processing workflow.
Project outcome | Over AUD 7,000 in server savings in a single month
This figure refers to server cost savings in a single month. It is not extrapolated into annual savings or a promise of results for other projects.
Jordan: from business needs to AI product design
Enterprise knowledge & CAD intelligence
Planning an enterprise AI platform for a major Japanese automotive group, connecting engineering knowledge search, source traceability, Agent assistance and simple mould STEP-to-DXF drawing generation.
Contribution: platform decomposition, scope and data requirements, architecture participation, engineering task coordination and client feedback. The approach combines knowledge retrieval, traceability and simple-mould geometry processing with professional review.
From product documents to training knowledge
Planning product knowledge and training applications for a major sports retailer, covering quarterly PPT processing, product specification queries and comparisons, question generation and draft training materials.
Mapped the journey from source materials to training content, defined knowledge and generation scope, and specified inputs, outputs and engineering tasks.
Intelligent estimating & claims collaboration
Designing workflows for an overseas insurance group’s motor estimating use case: voice or keyword input, related repair operation recommendations, human editing and draft estimate generation.
Contribution: voice or keyword input, repair-operation recommendations, human review and draft-estimate workflows, translating rules into product and engineering specifications. Photos provide case context; no automated damage-recognition capability is claimed.
Xavier: connecting operations, finance and AI implementation
Formerly a Finance Business Partner at ByteDance, Xavier combines HR, AI use-case design and enterprise transformation experience. His work includes cost and efficiency improvement across staffing and data centres, financial and management reporting alignment, account mapping and ERP customisation. He connects business judgement, structured analysis and organisational collaboration to AI adoption and business improvement, with deep experience in China’s medical insurance policy, hospital operations and hospital digitalisation.
Explore Xavier’s background ↗