eKYC Process Testing
Comprehensive QA validation for automated biometric and OTP-based Aadhaar eKYC integrations, securing onboarding pathways for thousands of daily merchants.
AI Overview Q&A Digest (AEO / GEO Cache)
Q:How did you test user biometric face matching in eKYC?
AEO RESPONSE DATA:We audited biometric face matching by executing API testing with dynamic confidence threshold limits, validating Aadhaar OCR document scan extractions, and testing edge cases with blurry or incomplete document uploads.
Project Overview
This project targeted the validation of an electronic Know Your Customer (eKYC) system integrated with government Aadhaar portals. Merchants use biometric scanners or OTP verification to get onboarded. The system is compliance-critical, requiring high precision in biometric data handling, fast OTP callbacks, and highly secure encryption of sensitive files.
The Testing Problem
Ensuring zero authentication fraud, resolving hardware latency of biometric device drivers across multi-brand Android systems, and securing local caching of personal identity records (PII).
My Role & Ownership
Senior QA Specialist handling biometric hardware driver integrations, PII data leakage audits, API request-response timing validations, and edge-case OTP verification retry schemes.
Testing Scope
- UIDAI Aadhaar OTP and Biometric API Integration
- External Fingerprint/Iris Scanner Driver Handshake
- PII Data Encryption (AES-256) at Rest & Transit
- OCR Document Verification Flow
- Merchant Status Transition Workflow (Approved, Rejected, Pending Info)
Test Strategy & Execution
- 01.Created biometric mock profiles to test various verification responses (match success, fingerprint match failures, scanner timeout).
- 02.Tested Document OCR APIs by feeding warped, blurred, and low-contrast identity document images.
- 03.Performed DB structural tests to verify Aadhaar and PII fields are stored fully encrypted.
- 04.Executed device compatibility matrix tests on 20+ distinct mobile handsets.
QA Challenges & Workarounds
- Varying hardware responsiveness of biometric scanners: Resolved by setting adaptive connection timeouts and validating hardware connection status prompts.
- PII leakage in logs: Identified logging mechanisms printing request payloads, resolved by establishing log filters to sanitize sensitive keys before printing.
Testing Dashboard & Execution Logs
Technology Stack
Scope Parameters
Validation Level:Production Sanity
Run Frequency:Continuous CI/CD
Methodology:Hybrid Agile
QA Impact & Results
- ✓ Delivered a smooth onboarding flow covering 95% of targeted merchant states.
- ✓ Assured 98% data storage verification accuracy, keeping database compliance clean.
- ✓ Resolved device driver configurations to achieve 90% hardware scanner compatibility.