Platform Architecture

Engineered for
Evaluation.

InternFlow's architecture abstracts the complexity of high-volume candidate vetting through modular tracks and automated scoring pipelines.

01 / Vetting Engine

Multi-Signal Filtering
Methodology.

01
Initial Intake Pipeline

Automated processing of candidate data using opinionated filtering logic to establish initial qualification thresholds.

02
Dynamic Scoring Rubrics

Track-level evaluation criteria that adjust based on role complexity and historical performance data.

03
Disposition Automation

Seamless routing of candidates to final interview stages or automated rejection based on real-time scoring.

SCORING_MATRIX_v1.0.0
92
1async function evaluateCandidate(id) {
2 const stats = await sandbox.execute(id);
3 if (stats.accuracy > 0.75) {
4 return "STAGE_PROMOTED";
5 }
6 }
sandbox_environment: stable
Running...
StatusCode Execution Enabled

02 / Technical Sandbox

Isolated Code Execution
Integrity.

Our isolated environment allows for rigorous, real-world assessment of engineering candidates across multiple modalities with built-in integrity controls.

  • Algorithm and Data Structure Challenges
  • Fullstack & System Design Prompts
  • DevOps Scenario & Infrastructure Tasks
  • Real-time Sandboxed Evaluation Metrics