QA & Testing AI-Assisted Development Web Application Development Docker VPS Deployment System Administration

Talentkind

Multi-Module Web Platform

talentkind.com

Project Overview

Talentkind is a multi-module web platform consisting of multiple frontend applications and backend services. My work on Talentkind covered the complete technical workflow, taking features and fixes from initial discovery all the way to production deployment.

The Core Technical Workflow

Manual Testing
→
Bug Identification
→
Bug Investigation
→
AI-Assisted Bug Fixing
→
Requirement Understanding
→
Requirement Implementation
→
Development / Code Changes
→
Testing & Retesting
→
Dockerization
→
VPS Deployment
→
Hosting & Maintenance

Talentkind Modules

Frontend Applications

  • talentkind_talent_frontend
  • talentkind_employer_frontend
  • talentkind_trainer_frontend
  • talentkind_institution_frontend
ReactCreate React App

Backend Services

  • talentkind_api
  • python_connect_module
Python
TALENTKIND
Talent
Employer
Trainer
Institution
Talentkind API
Python Connect Module
Database

Manual Testing & QA

I worked hands-on with the different Talentkind modules and tested the application manually to ensure a seamless experience across all frontend interfaces and API flows.

Manual testingFunctional testing UI testingUser-flow testing Requirement validationTest scenarios Test casesRegression testing Bug identificationBug reproduction Expected vs actual behaviorRetesting after fixes Final validation

Testing Workflow

Requirements
→
Understand User Flow
→
Test Scenarios
→
Manual Testing
→
Bug Found
→
Bug Investigation
→
Fix
→
Retest
→
Validation

Bug Identification & Debugging

During manual testing, I proactively identified issues across application modules and thoroughly investigated the problems before fixing them or assisting with resolutions.

  • Reproducing bugs
  • Understanding the issue
  • Checking application behavior
  • Identifying the affected component/module
  • Investigating frontend/backend behavior
  • Checking code where required
  • Testing the fix
  • Regression testing

AI-Assisted Development & Bug Fixing

"I used AI-assisted development tools to help investigate, understand and fix application issues identified during testing."

AI was utilized strictly as an assistance tool. I maintained full responsibility for manually testing, validating, and ensuring the accuracy of all integrated changes.

Manual Testing
→
Bug Identified
→
Understand the Issue
→
AI-Assisted Investigation
→
Code Change / Fix
→
Run Application
→
Retest
→
Regression Validation

Requirement Implementation

Beyond testing, I actively worked on implementing selected requirements and making direct changes to the application to enhance functionality.

Requirement understandingCode changes Feature/requirement implementationBug fixing TestingValidation

Implementation Flow

Requirement
→
Understand Expected Behavior
→
Identify Relevant Module
→
Modify / Implement
→
Run Application
→
Test
→
Fix Issues
→
Retest
→
Complete

Development & Code Contributions

My role was not limited to testing. I also worked directly on application code and implemented selected changes across the stack.

  • Frontend code changes
  • React application work
  • Python backend-related work
  • Bug fixes
  • Requirement implementation
  • Debugging
  • Integration validation
  • Testing after code changes
ReactCreate React AppPython

Dockerization

I successfully worked on containerizing the Talentkind applications and services to ensure a robust, reproducible deployment architecture.

DockerDocker containers Application deploymentEnvironment configuration Service managementContainerized deployment
Talent Frontend
↓
Docker Container
Employer Frontend
↓
Docker Container
Trainer Frontend
↓
Docker Container
Institution Frontend
↓
Docker Container
Talentkind API
↓
Docker Container
Python Connect Module
↓
Docker Container
DOCKER
→
VPS

VPS Deployment & Hosting

After development and testing were complete, the applications were deployed and securely hosted on a Virtual Private Server (VPS).

VPS hostingLinux serverDocker Application deploymentDomain configuration DNSSSLNginx / reverse proxy Server troubleshootingService managementApplication availability
Internet
→
Domain / DNS
→
VPS
→
Docker
→
Talentkind Services
→
Database

Production Architecture

INTERNET
↓
CLOUDFLARE | DNS / SSL
↓
VPS | NGINX | DOCKER
↓
Talent
Employer
Trainer
Institution
API
↓
Python Connect
Database

Project Lifecycle Workflow

1 Development
2 Manual Testing
3 Bug Identification
4 AI-Assisted Fixing
5 Requirement Implementation
6 Retesting
7 Build
8 Dockerize
9 Deploy to VPS
10 Configure Domain / SSL
11 Production Testing
12 Maintenance

Production Troubleshooting

Maintaining a production environment required active monitoring and rapid resolution of live issues.

Application not loadingContainer/service issues Frontend/backend connectivityPort configuration Nginx/reverse proxy issuesDNS issues SSL issuesDatabase connectivity Deployment problemsServer resource issues Restarting/recovering servicesRetesting after production fixes

Technology Stack

Frontend

React, Create React App

Backend

Python

Database

MySQL

Testing

Manual Testing, Functional Testing, Regression Testing, Test Cases, Bug Reporting, AI-Assisted Debugging

Development

React, Python, JavaScript, HTML, CSS

Deployment

Docker, Docker Compose, Linux, VPS, Nginx, Cloudflare, DNS, SSL

My Contribution

"I worked across the Talentkind project from manual QA and application testing through AI-assisted bug fixing, selected requirement implementation, development changes, Dockerization and VPS deployment."

  • Manual testing
  • Functional testing
  • Testing multiple Talentkind modules
  • Bug identification & investigation
  • AI-assisted bug fixing
  • Requirement implementation
  • Frontend/code changes
  • Retesting & Regression validation
  • Dockerization & VPS deployment
  • Hosting & Server troubleshooting

From Testing to Production

This project provided critical, practical experience across the complete software lifecycle. My role extended far beyond traditional manual testing into hands-on development, deployment automation through containers, infrastructure management, and active production support.

The Lifecycle Mastered

Test
→
Find
→
Understand
→
Fix
→
Develop
→
Validate
→
Containerize
→
Deploy
→
Maintain

"Talentkind was a hands-on project where I worked across multiple frontend modules and backend services. My involvement started with manual testing and bug identification, expanded into AI-assisted debugging and selected requirement implementation, and continued through Dockerization, VPS deployment, hosting and production troubleshooting."

ReactPythonDockerLinux VPSManual TestingAI-Assisted Development