01 · Overview
Product context and engineering scope.
The goals, operating context, and technical decisions behind this case study.
JD-Driven Candidate Sourcing helps recruiters discover relevant candidates directly from a selected job in GiFTEM.
Built for GiFTEM — Shuvel Digitech
01
The feature uses AI to understand the overall hiring context and prepare a candidate-sourcing experience tailored to the role.
02
Relevant candidate profiles are presented through an organized recruiter workflow that supports efficient review and shortlisting.
02 · Key Contributions
What I engineered across the product.
Every original contribution preserved in sequential chapters, highlighting technical execution.
As AI Engineer / Full Stack AI Engineer at GiFTEM — Shuvel Digitech, I engineered core capabilities across the product.
3 engineering deliverables
01
Designed and implemented the end-to-end JD-Driven Candidate Sourcing feature across the frontend, backend, AI services, and data-processing workflows.
02
Developed an AI-powered workflow that understands the overall context of a selected job and prepares it for candidate discovery.
03
Built automated candidate-sourcing functionality that reduces the need for recruiters to manually construct complex searches.
3 engineering deliverables
04
Implemented multiple sourcing experiences to support different recruiter search scenarios.
05
Created candidate-alignment insights to help recruiters understand profile relevance during candidate review.
06
Developed a recruiter-friendly interface for reviewing and shortlisting sourced candidates.
03 · Capabilities
Capabilities designed around real user needs.
The product features and system behaviors delivered by this project.
01
AI-Powered Job Understanding
Understands the overall hiring context of a selected job to support candidate discovery.
02
Automated Candidate Discovery
Discovers relevant candidate profiles without requiring recruiters to build searches manually.
03
Flexible Sourcing Experience
Provides recruiters with multiple ways to discover candidates for different hiring scenarios.
04
Candidate Alignment Insights
Presents clear profile-alignment insights to support informed candidate review.
05
Recruiter Review Experience
Organizes candidate results in an accessible interface for efficient profile evaluation.
06
Candidate Shortlisting
Supports the transition from candidate discovery to recruiter shortlisting and engagement.
04 · System flow
How the system moves from input to outcome.
A stage-based connected process visualization preserving every workflow step.
Stage 01
Recruiter creates or selects a job
Stage 02
AI prepares a job-specific sourcing experience
Stage 03
Relevant candidate profiles are discovered
Stage 04
Candidate insights are presented for review
Stage 05
Recruiter reviews and shortlists suitable candidates
05 · Decisions
Constraints translated into engineering decisions.
The problems that shaped the product and the responses used to address them.
01
The constraint
Recruiters can spend significant time preparing and running candidate searches for individual jobs.
Engineering decision
Developed an AI-powered workflow that initiates candidate sourcing directly from a selected job.
02
The constraint
Candidate discovery can require recruiters to manually create and manage complex searches.
Engineering decision
Built an automated sourcing experience that reduces manual search preparation and presents relevant profiles in a unified workflow.
03
The constraint
Reviewing candidate results without sufficient context can make shortlisting difficult.
Engineering decision
Introduced candidate-alignment insights and an organized review interface to support informed shortlisting.
06 · Technology
Technology and tools
The complete technology stack utilized in this project, organized by engineering area.
Frontend
Next.js
React
TypeScript
Material UI
Backend
Node.js
Express.js
REST APIs
Background Services
AI & Data
OpenAI API
PostgreSQL
Sequelize
Elasticsearch
Asynchronous Processing
Redis
Bull Queues
Background Workers
More selected work
Continue exploring the portfolio case studies.