
Client
Recruiter+
Duration
Ongoing
Year
2025
Challenges
A Manual, Disconnected Hiring Process
Manual CV Screening
Recruiters manually read hundreds of CVs, time-intensive, inconsistent, and prone to missing great candidates
Poor Search Quality
Keyword-based filtering misses semantically relevant candidates and over-returns irrelevant ones
No LinkedIn Integration
Candidate profiles go stale instantly; no live signal on current role, skills, or activity
Zero Explainability
Shortlisted candidates had no rationale, recruiter couldn't justify or audit the recommendation
No Scale Path
Processing 10,000+ CVs was cost-prohibitive and beyond API rate limits with standard pipelines
Fragmented Data Sources
CV data, metadata, and LinkedIn profiles stored separately with no unified candidate identity

Solution
End-to-End AI Hiring Pipeline: Built for Scale & Explainability
Technovate Global designed and deployed a fully integrated RAG-powered hiring platform, from CV ingestion and LinkedIn enrichment to semantic retrieval and explainable AI recommendations.
Intelligent CV Ingestion
Parses complex PDF layouts into clean Markdown; LLM extracts structured JSON metadata, zero manual entry
Intelligent CV Ingestion
Parses complex PDF layouts into clean Markdown; LLM extracts structured JSON metadata, zero manual entry
Dual-Database Engine
Relational master store for identity & full text; vector index for semantic search with metadata prefiltering
Dual-Database Engine
Relational master store for identity & full text; vector index for semantic search with metadata prefiltering
Automated LinkedIn Enrichment
Background scraping triggered on upload; live re-scrape on shortlist or profile view; auto-refresh every 6 months
Automated LinkedIn Enrichment
Background scraping triggered on upload; live re-scrape on shortlist or profile view; auto-refresh every 6 months
RAG Retrieval Pipeline
Natural language queries translated to metadata filters; oversampling + deduplication guarantees 5 unique candidates
RAG Retrieval Pipeline
Natural language queries translated to metadata filters; oversampling + deduplication guarantees 5 unique candidates
Explainable AI Recommendations
Every recommendation cites the exact CV line or LinkedIn section that justifies the claim, fully auditable
Explainable AI Recommendations
Every recommendation cites the exact CV line or LinkedIn section that justifies the claim, fully auditable
Batch Processing Engine
Processes 10,000+ CVs in background batches of 500; cuts LLM token costs by 50% and bypasses rate limits
Batch Processing Engine
Processes 10,000+ CVs in background batches of 500; cuts LLM token costs by 50% and bypasses rate limits
Transformation
Before vs. After
Manual CV reading for every role
AI-parsed, fully searchable candidate database
Keyword filtering missing top talent
Semantic vector search finds best semantic matches
Stale candidate profiles
Live LinkedIn enrichment on shortlist & auto-refresh
No justification for shortlists
Every recommendation cites exact CV/LinkedIn evidence
Batch imports crashing rate limits
50% cheaper batch pipeline handling 10,000+ CVs
Fragmented candidate identity
Unified candidate_id across all CVs, versions & profiles
Results
The Numbers Speak
Reduction in LLM extraction costs via Batch API
Semantic candidate retrieval at query time
CVs processable in a single background batch
Recommendations backed by cited CV/LinkedIn evidence
Technology
Stack at a Glance
Document Parsing
LlamaParse (complex PDF → Markdown)
Intelligence & Extraction
OpenAI GPT-4o-mini + Batch API (structured JSON, 50% cost reduction)
Embeddings
OpenAI text-embedding-3-small
Vector Index
Qdrant Cloud (metadata prefiltering)
Relational Store
PostgreSQL (entity resolution, full-text storage)
LinkedIn Enrichment
Apify (managed proxy scraping)
Infrastructure
AWS S3, SQS, Lambda/EC2 (async processing)
Outcome
What Recruiter+ Gained
Recruiter+ transformed hiring from a gut-feel, manual slog into a fast, evidence-based operation, with semantic search, live candidate intelligence, and AI recommendations every recruiter can explain and defend.
Discover More
AI-Accelerated Engineering with Real-World Impact.
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