Adissa Vintha
Junilla
QA Engineer with 4+ years across logistics and banking systems — specializing in root-cause analysis, tracing defects from UI through API to database, and ensuring reliability from development to release.
Core Expertise
What I Bring to the Table
Testing
- Functional Testing
- Regression Testing
- End-to-End Testing
- Integration Testing
- UAT Support
Tools & Platforms
- Postman — API Testing
- SQL — Database Validation
- JIRA — Defect Lifecycle
- Tosca — Automation
- Web / Mobile / API / AS400
Analysis
- Root-Cause Analysis (UI → API → DB)
- Requirement Analysis
- Risk Identification
- Test Case Design
- System Behavior Analysis
Domain Expertise
Logistics & Banking Experience
Quality experience in complex, high-stakes systems — where a single defect has real operational and financial impact.
Logistics Systems (Lion Parcel)
End-to-end QA across the full SDLC for parcel delivery operations — validating business flows from development through staging to production release, with deep API and SQL database-level verification.
Banking Transaction Systems
Tested complex banking applications at Bank UOB and Bank Mandiri — covering transaction flows, account management, and core banking operations across web, mobile, API & AS400 platforms.
Cross-Border Payments (CBPR+)
Hands-on testing of cross-border payment systems compliant with SWIFT CBPR+ standards — ensuring accuracy in international fund transfers and message formatting.
Key Projects
Where Impact Was Made
Lion Parcel
via Logistics & Parcel Delivery
Overview
Nationwide parcel logistics platform powering shipment operations, tracking, and delivery business flows.
Role & Contribution
Own QA end-to-end across the SDLC — requirement analysis, test planning, execution, staging validation, and production release sign-off.
System Complexity
Critical Impact
- Trained in root-cause investigation — tracing defects from front-end behavior through API request/response down to database records
- Validate data accuracy, consistency, and integrity with direct SQL queries, catching discrepancies invisible at the UI layer
- Join every feature from development through staging to release validation, ensuring only tested, verified work ships to production
Bank UOB
via PT Avows Technologies Indonesia
Overview
Core banking system with web, mobile, API, and AS400 interfaces serving retail and corporate customers.
Role & Contribution
Led testing activities across multiple platforms; acted as QA lead support in key project phases.
System Complexity
Critical Impact
- Identified critical data exposure vulnerability before production release
- Caught transaction inconsistencies in cross-border payment flows
- Prevented defects from reaching UAT by implementing thorough regression cycles
Bank Mandiri
via PT Grestenan Ramadhani
Overview
Digital banking applications for Indonesia's largest bank — web and mobile channels.
Role & Contribution
Executed manual testing, created test documentation, and supported UAT with business users.
System Complexity
Critical Impact
- Improved defect detection rate through structured test case design
- Streamlined UAT process, reducing feedback loop time with business stakeholders
Differentiator
Case Studies
Real scenarios that demonstrate analytical thinking and problem-solving — not just test execution.
Scaling 2000+ Test Cases Under a 3-Week Deadline
Context
Assigned to a high-pressure release cycle with multiple parallel projects, 2000+ test cases, only 3 weeks of runway, and a team of just 4 testers — while still required to deliver daily progress reports to stakeholders.
Problem
Executing the full test case set within the timeline was mathematically impossible. Without intervention, the team would either miss the deadline or compromise coverage on high-risk areas, putting the release at risk.
Action & Analysis
Took the initiative to lead a test case rationalization effort myself — analyzing the 2000+ TCs, identifying redundant and low-risk scenarios, and consolidating them into a leaner, risk-prioritized set aligned to the 3-week window. Handled the reduction work independently so the other 3 testers could stay focused on execution and uninterrupted daily reporting.
Impact
Test scope was realigned to fit the timeline without sacrificing critical coverage. The team hit the deadline, daily reports stayed on schedule, and the prioritization approach became a reusable playbook for future time-boxed releases.
Data Exposure Vulnerability
Context
During regression testing of a banking web application, a new feature release introduced changes to the API response structure.
Problem
Sensitive customer data (account details, personal information) was being returned in API responses to unauthorized user roles — a critical security gap undetected by development.
Action & Analysis
Cross-referenced API responses across different user roles and permission levels. Documented the exact endpoints and data fields exposed, assessed the blast radius, and escalated with a detailed risk report including reproduction steps.
Impact
Issue was patched before production deployment, preventing potential regulatory violation and customer data breach. Established a new QA checkpoint for role-based API response validation.
Transaction Inconsistency in Cross-Border Payments
Problem
During end-to-end testing of a cross-border payment flow (CBPR+), transaction amounts showed discrepancies between the initiation screen and the confirmation/settlement records.
Action & Analysis
Traced the full transaction lifecycle from UI input through API payload to backend processing. Identified a rounding logic mismatch between the front-end currency conversion and the backend settlement engine. Mapped the data flow to pinpoint exactly where the inconsistency was introduced.
Impact
Fix prevented financial discrepancies in international transfers. The systematic analysis approach was adopted as a template for testing other multi-step financial flows.
System Thinking
How I See Systems
I don't just test individual screens — I understand the full transaction lifecycle and where failures can occur.
User Input
Request initiation
Validation
Data integrity check
Authentication
Identity verification
API Gateway
Request routing
Processing
Business logic
Status
Transaction result
Reporting
Audit & logging
Analytical Thinking
- Trace data flow across system layers to find root causes
- Identify edge cases by understanding business rules and system boundaries
- Connect frontend behavior to backend logic for comprehensive test coverage
Beyond Testing
- Evaluate system architecture for potential failure points
- Propose process improvements based on defect pattern analysis
- Bridge communication between technical teams and business stakeholders
Career
Experience
QA EngineerCurrent
Lion Parcel · Logistics & Parcel Delivery
Own end-to-end QA across the full SDLC — from requirement analysis and test planning through staging validation and production release. Specialize in root-cause investigation: tracing issues from front-end through API payloads down to database records using SQL, and validating every release before deployment.
Software Quality Assurance
PT Avows Technologies Indonesia · Bank UOB
Led QA across web, mobile, API & AS400. Found critical security and transaction defects before production.
Software Quality Assurance
PT Grestenan Ramadhani · Bank Mandiri
Built structured test processes for digital banking. Improved UAT collaboration with business stakeholders.
What's Next
Career Direction
Open to roles that value analytical thinking and system understanding — not limited to QA execution.
Mid–Senior QA Engineer
Leading testing strategy, mentoring teams, and driving quality in complex, high-stakes systems.
System Analyst
Leveraging deep system understanding to bridge business requirements with technical implementation.
Analytical / AI Trainer Roles
Applying problem-solving skills and domain expertise to data analysis, process improvement, and AI training.