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AI document processing & recruitment

VIA-Tender

Full-stack Engineer

What it does
A recruitment platform that turns documents into CVs and matches candidates to jobs.
My work
Designed the full-stack app and data models, plus AI document-analysis pipelines, CV generation, and candidate-matching logic.

IN DEPTH

My contribution

Full-stack application and data design

Designed and developed the client and server application with Next.js and TypeScript, including database models and data access using PostgreSQL, Drizzle ORM, and Redis.

AI document-processing workflows

Built the application workflows for AI-assisted document analysis, connecting document inputs to CV-generation and recruitment features.

CV generation and candidate matching

Implemented automated CV generation and candidate-matching logic to support recruitment workflows and compare applicants with requirements.

Product and infrastructure

Worked with product stakeholders to define document and recruitment requirements and align the platform with business needs. The stack included Supabase alongside PostgreSQL, Redis, and Drizzle ORM.

Technology

Deployment

DigitalOcean.

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