Freelance QA Engineers
Freelance QA Engineers
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Max Hora
max
Dnipro, 49000
CTO | Team leader | Adviser | 27000+ hours and 140+ projects
$50k+
Earned
4x
Hired
5.0
Rating
56
Followers
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CTO | Team leader | Adviser | 27000+ hours and 140+ projects
0
Qt/C++ Software Performance Optimization
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0
0
Zoom SDK Integration for macOS Capture App
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0
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Distributed Blockchain Exchange Platform Development
0
1
1
Qt/QML C++ Architect
1
87
QA Engineer
(1)
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Aslam Zubair
Canada
Web, Mobile & Software QA | Elevating User Experience
$1k+
Earned
1x
Hired
14
Followers
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Web, Mobile & Software QA | Elevating User Experience
1
Mobile Game QA โ Art Heist Puzzle (iOS & Android)
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104
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MetroQuest | Public Engagement
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30
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Unicorn Solutions | Credit Management
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16
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Virtusa | Digital Innovation Engineering
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14
QA Engineer
(4)
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Catalin Caila
Cluj-Napoca, Romania
QA Automation Engineer
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QA Automation Engineer
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UI testing with Selenium
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25
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API testing with SoapUI
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8
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Enhancing User Experience through Playwright
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25
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QA Engineer
(3)
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Sandeep Maske
Mumbai, India
๐ฏQA Expert with 320+ Projects & 100% Job Success
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๐ฏQA Expert with 320+ Projects & 100% Job Success
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Brandify | Test Case Management & Automation for Efficient SQA
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36
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Homefacts | Rigorous QA for Functional & UI changes
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14
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Ragnar | Manual and Automation Testing, CI/CD Pipelines
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16
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Canva | Manual Testing & QA for UI, Multi-Platform Support
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23
QA Engineer
(4)
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Andrei Tirla
Cluj-Napoca, Romania
Expert QE Engineer
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Expert QE Engineer
0
Cross device and integration testing
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28
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Mobile App Testing
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23
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Performance testing using LoadUI
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25
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QA Engineer
(3)
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Molka B
Tunis, Tunisia
AI & QA Automation Engineer | AI Bias Audit& Web/App Testing
New to Contra
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AI & QA Automation Engineer | AI Bias Audit& Web/App Testing
1
Enterprise SaaS QA Automation: AI-Powered Testing & CI/CD My role :ย Senior QA Automation Engineer Project description: Architected and implemented comprehensive test automation framework for enterprise SaaS platform, achieving 92% API and 85% UI test coverage. Developed 230+ automated tests using Pytest and Selenium with Page Object Model design pattern. Integrated AI-powered test prioritization and flaky test detection achieving 95% accuracy. Implemented GitHub Actions CI/CD pipeline reducing regression testing from 2 days to 6 hours (75% reduction). Enabled daily releases while improving production defect detection by 82%. Technologies: Python, Pytest, Selenium WebDriver, GitHub Actions, Docker, Scikit-learn
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37
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Professional Telegram Bot Testing Framework with AI-Powered Reports My role :ย Senior QA Automation Engineer & Test Framework Architect Project description: Developed a comprehensive automated testing framework for Telegram bots featuring multi-layered testing strategies (API, UI, integration), real-time screenshot capture, and AI-enhanced HTML reporting. The framework includes security validation, performance benchmarking, concurrent user simulation, and professional dashboards with interactive metrics. Built with Python/pytest, it supports CI/CD integration, generates beautiful visual reports, and handles edge cases like multilingual input, injection attacks, and stress testing. Perfect for enterprise bot validation and quality assurance.
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48
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AI Bias Detection & Mitigation Tool for Hiring Models My role:ย AI/ML Engineer & Fairness Auditor Project description: AI Bias Detection and Mitigation Framework for Recruitment Systems. Built a complete, production-ready tool that: Detects gender, race, and age bias in hiring ML models Uses industry-standard fairness metrics (Disparate Impact, Demographic Parity, Equal Opportunity) Applies Reweighing mitigation (AIF360) โ improves fairness while keeping accuracy loss < 2% Includes interactive Gradio demo for live testing Full business impact section + compliance notes (EEOC 4/5th rule, GDPR, EU AI Act)
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82
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E-commerce Automation Framework My role : Test Automation Engineer (UI & API) Project description: Designed and developed a comprehensive automated testing framework for an e-commerce website. The framework covers UI automation using Selenium WebDriver and Pytest, alongside robust API testing to ensure backend reliability. It enables fast, repeatable test execution with detailed reporting to quickly identify issues.
1
59
QA Engineer
(2)
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Nury Soto
Bogota, Colombia
Systems Engineer | AI-Powered Data Operations
New to Contra
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Systems Engineer | AI-Powered Data Operations
1
Structured Data Extraction: PDF to Excel/CSV ๐ Tables trapped in PDFs prevent accurate analysis. ๐ This project demonstrates a rigorous extraction process for financial data and complex spreadsheets. Engineering Workflow: ๐ Assisted Extraction: Recovering structured tables from non-editable files. ๐ Data Refinement: Standardizing formats and fixing alignment issues. ๐ Numerical Audit: Systematic verification to ensure high-fidelity results. โ Result: Ready-to-use assets for reporting. ๐ ๏ธ
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19
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Strategic Data Integrity & CRM Optimization ๐ Dirty data is a silent profit killer. It breaks automations and ruins marketing reach. ๐ This project showcases a Senior-level audit for 500+ record databases to ensure 100% operational precision. Engineering Workflow: ๐ Logical Deduplication: Removing redundancies missed by standard filters. ๐ Nomenclature Standardization: Unified Proper Case and syntax validation. ๐ CRM-Ready Mapping: Structured for error-free import into Salesforce or HubSpot. Result: High-integrity digital assets backed by systems engineering expertise. โ
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28
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High-Fidelity Document Conversion: Scanned PDF to Editable Word Many automated tools fail to interpret complex scanned documents, resulting in corrupted characters and broken layouts. This project demonstrates a Senior-level engineering approach to document recovery and data accessibility. The Technical Solution: Advanced AI-OCR Extraction: Utilizing high-performance models to interpret printed text from low-quality scans. Structural Layout Reconstruction: Precise restoration of original document architecture, including headers, bolds, and page formatting. Senior Quality Audit: A systematic word-by-word verification process to ensure 100% data integrity and zero information loss. Result: A fully searchable, 100% editable Microsoft Word replica, ready for professional use, publishing, or legal auditing.
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59
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From 100+ Raw Files to a 30-Day Content PlanโPowered by AI โก Most people see disorganized folders. I see an optimized database waiting to happen. Hereโs how I helped a client reclaim their time: โ The Mess: 100+ video files with zero nomenclature or order. โ The Solution: A technical cleanup using AI-powered workflows to rename, audit, and organize. โ The Result: A structured Content Calendar that actually works for the business. You don't need a virtual assistant; you need a Senior Engineer to architect your data. Need to clean up your digital chaos? Letโs talk! โ๏ธ
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72
QA Engineer
(3)
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Yavor Tsanov
Sofia, Bulgaria
Expert QA Automation Engineer
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Expert QA Automation Engineer
0
VMware | Automated testing
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12
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Sportsbet | Performance, Front end and Back end Testing
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33
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Mercedes-Benz| 100% Automated testing coverage on platform
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23
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Publicis Sapient | Cross-browser UI Testing, leading the team
0
18
QA Engineer
(2)
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