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10-Module Deterministic Resume Scoring

Stop losing great engineers to naive keyword filters. TalVivo parses resumes into 10 distinct, explainable dimensions with verifiable text citations and transparent score calculations.

Test Resume Engine
The Scoring Architecture

The 10 Dimensions of Candidate Evaluation

Module 01Weight: 20%

Core Skills Proficiency

Extracts primary tech stack and verified runtime competencies with depth rating (Junior to Principal).

Module 02Weight: 10%

Secondary & Auxiliary Skills

Evaluates adjacent toolchains, deployment pipelines, CI/CD, cloud platforms, and testing suites.

Module 03Weight: 15%

Career Velocity & Duration

Calculates true relevant tenure across roles rather than raw calendar years, weighting recent high-impact tenures.

Module 04Weight: 15%

Project Impact & Scale

Identifies quantified business metrics, throughput numbers, user scale, and latency improvements.

Module 05Weight: 10%

Architectural Responsibility

Distinguishes between task execution vs system design, microservices architecture, and technical leadership.

Module 06Weight: 5%

Education & Certifications

Validates accredited degrees, specialized certifications (AWS, GCP, CKA), and academic subject relevance.

Module 07Weight: 10%

Domain & Industry Relevance

Aligns candidate experience with your exact vertical (Fintech, Healthtech, High-Volume E-Commerce, etc.).

Module 08Weight: 5%

Growth Trajectory & Leadership

Detects team mentoring, open-source contributions, RFC authorship, and engineering management experience.

Module 09Weight: 5%

Code & Problem Solving Clues

Analyzes portfolio links, GitHub repositories, technical patents, and published engineering papers.

Module 10Weight: 5%

Culture & Collaboration Signals

Extracts cross-functional communication, agile sprint ownership, and stakeholder collaboration evidence.

Live Dossier Telemetry

Sample Parsed Candidate Dossier

Overall ATS Score
94 / 100
Skill Match Verification
✓ React 19, TypeScript, Next.js, Node.js

Matched across 5 years of production work history with performance citations.

Quantified Impact
"Reduced API latency by 45% for 2M DAU"

High-scale architecture signal detected from recent Staff Engineer role.

Recommendation
Auto-Route to Kyra Technical Voice Round

Exceeds role benchmark (Threshold: 80). Scheduled for AI screening.

Connected Hiring OS Pipeline

Where this fits in the candidate journey

Next Stage: MCQ & Aptitude Assessments
Step 01Current
10-Module Resume Screening

Deterministic candidate scoring with zero keyword bias.

View Stage
Step 02
Code Intelligence & MCQs

Containerized debugging challenges and situational tests.

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Step 03
Kyra Voice AI Interviews

Sub-500ms conversational spoken technical screens.

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Step 04
Vision Proctor & Telemetry

Multimodal cheating deterrence & focus tracking.

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Step 05
Candidate Dossiers

Unified scorecards, transcripts & verified candidate dossiers.

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Recommended Next Step: After parsing resumes with 10-module precision, assess candidate situational judgment and conceptual knowledge with auto-graded MCQs.Continue →
Questions & Answers

Frequently Asked Questions

Screen your next applicant queue with 10-module precision.

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