Senior Backend & DevOps Engineer

Building Enterprise-Grade Systems with Precision

I architect, develop, and deploy high-performance backend systems using PHP, Python, and modern DevOps practices. Specializing in scalable APIs, database optimization, and cloud infrastructure.

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Core Technologies:
CodeIgniter 4 Python Docker AWS MySQL Linux
Professional headshot

Currently Building

Microservices with Python & Docker

Technical Expertise

Proven track record in designing robust systems, optimizing performance, and implementing secure, scalable solutions

Backend Development
Primary Stack:
PHP 8.x CodeIgniter 4 REST APIs OOP
  • Custom MVC Architecture
  • JWT Authentication
  • API Rate Limiting
  • Payment Gateway Integration
Database Engineering
Technologies:
MySQL PostgreSQL Redis Query Optimization
  • Query Performance Tuning
  • Database Schema Design
  • Data Migration Scripts
  • Redis Caching Strategies
DevOps & Infrastructure
Tools & Platforms:
Docker AWS Linux CI/CD
  • Containerization with Docker
  • AWS EC2, RDS, S3
  • Linux Server Administration
  • Automated Deployments

Technical Highlights

Key achievements and specialized skills that deliver business value

Performance Optimization

Reduced API response times by 65% through query optimization and Redis caching strategies

Security Implementation

Implemented JWT authentication, CSRF protection, and SQL injection prevention in multiple projects

System Scalability

Architected systems handling 10k+ concurrent users with horizontal scaling capabilities

Featured Engineering Projects

Real-world systems with quantified results and architectural decisions

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PHP / CodeIgniter 4
High-Traffic E-commerce API

Scaled backend to handle 10k+ concurrent users with optimized queries and Redis caching.

Technologies Used:
PHP 8.1 MySQL Redis JWT
  • Reduced response time by 65%
  • Implemented JWT authentication
  • 99.9% uptime over 12 months
Case Study →
Python / Docker
Data Processing Pipeline

Automated ETL pipeline processing 5M+ records daily with error handling and monitoring.

Technologies Used:
Python Docker PostgreSQL Cron
  • Reduced manual work by 40 hours/week
  • Built with Apache Airflow & PostgreSQL
  • Automated alerting system
Case Study →
DevOps / AWS
Infrastructure Migration

Migrated legacy on-prem systems to AWS with zero downtime and improved security.

Technologies Used:
AWS Docker Nginx GitHub Actions
  • Cut hosting costs by 35%
  • Implemented CI/CD with GitHub Actions
  • Automated backups & recovery
Case Study →

Let's Build Something Scalable Together

I'm currently available for full-time backend roles, consulting projects, or system architecture reviews.

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Available for: Backend Development • API Design • System Architecture • Performance Optimization