Platform need
Recruiting teams need to move faster through large applicant pools while preserving review quality, role fit scoring, and a traceable candidate pipeline.
Case studies
Recruiting Platform
DijiRecruit
Modern ATS for fast hiring with applicant tracking, LLM-powered CV scoring, resume parsing, candidate sorting, and automated job listing workflows.
Solution
Architected an ATS with automated resume parsing, LLM-assisted CV scoring, applicant sorting, job listing workflows, and event-driven processing for high-volume hiring operations.
Architecture
TypeScript-first stack, Vercel AI SDK, asynchronous event pipelines, automated resume parsing engine
Implementation highlights
Public preview presents the recruiting workflow and product direction
Candidate workflow prioritizes ranking, review speed, and recruiter decision support
Async processing model separates document parsing from hiring workflow interactions
Proof points
LLM-powered CV scoring workflow architected
Automated resume parsing and sorting pipeline designed
Public landing experience prepared for early buyer and recruiter conversations
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