Laravel developer | PHP developer | Laravel | JavaScript | Python | ERP | DDD | TDD | AWS | Docker | Vue JS | React JS | Machine Learning | Computer Vision
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
load_test
April 26, 2026 – Present
This project contains a test suite built with k6 scripts for load testing and other performance
View Projectcomposer
April 22, 2026 – Present
This project represents my studies related to php package manager, Composer , and its features
View Projectredis_performance_scalability
April 19, 2026 – Present
This project represents my hands-on studies related to Redis
View Projectproject_manger
February 5, 2026 – Present
This repository contains a RESTful API built with NestJS, developed as part of my postgraduate studies in Software Architecture. The goal is to demonstrate practical applications of SOLID principles, dependency injection, and modular design in a Node.js environment
View Projectload_test_and_rollback_ci
December 13, 2025 – Present
This project represents my studies in CI/CD, load testing, and infrastructure rollback, using AWS services and Terraform .
View Projectmachine_learn
August 12, 2024 – January 26, 2025
This Python project represents my studies in machine learning, implementing several algorithms such as SVM, Artificial Neural Networks, Logistic Regression, Naive Bayes, and much more, in practical applications
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal studies, indicating a self-driven learning approach. However, the project diversity leans heavily towards web development (PHP, JavaScript, HTML, CSS) and general software engineering (CI/CD, API development) rather than a strong focus on data science. While there is a machine learning project, the overall portfolio does not strongly align with a dedicated Data Scientist role, suggesting a potential mismatch in core interests or experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no psychometric test results or interview notes.