AI candidate screening, automated resume parsing, and personalized outbound sequencing.
Duration
3 Months
Team Size
2 Developers
Launched
2025 Launch
Status
Reference Solution
An executive deep dive tracing operational objectives, challenge landscapes, and delivery outcomes.
TalentMatch AI accelerates applicant screening by parsing resumes, comparing applicant skills against job criteria via semantic search, and writing tailored email sequences for recruiters.
Recruiting specialists spent hours manually reviewing resumes and drafting emails for developer roles, slowing down hiring pipelines.
Accelerate candidate resume screening and initial recruiter outbound scheduling, cutting profile review times by 80% and tripling sourcing pipeline capacities.
We built a candidate sourcing application featuring vector databases, matching algorithms, and automated email generation tools aligned with recruiters' hiring preferences.
We created a candidate database index using pgvector, enabling recruiters to query applicant resumes using semantic terms. The app leverages Claude to draft tailored outbound copy based on applicant history.
Reduced initial screening review times from 2 minutes to 15 seconds per profile, while doubling response rates through personalized cold outreach messaging.
Custom engineered software nodes mapping specific operational problems to engineering resolutions.
Performs semantic analysis to score resumes against requirements beyond keyword matches.
Drafts email copy tailored to the candidate's professional achievements and work history.
Connects with ATS systems (Greenhouse, Bullhorn) to update candidate stages.
Data pipeline flow maps showing inputs translating down through vector stores and execution API layers.
Converts PDF resumes into raw text and runs layout-aware cleanup scripts.
Calculates similarity scores using pgvector embeddings and criteria scoring rules.
A Next.js panel where team members inspect candidate scorecards and edit emails.
Measurable performance metrics and operational throughput scaling indicators registered post-launch.
Reduced initial screening review times from 2 minutes to 15 seconds per profile, while doubling response rates through personalized cold outreach messaging.
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