Software Engineer with 18+ years of experience across PHP, CodeIgniter, Laravel, server management, mobile app development, office operations, and SEO. Entrepreneur, technology optimist, and builder of practical software products.
CI/CD pipelines, deployment workflows, infrastructure automation, and operational reliability for modern software teams.
End-to-end product delivery across backend systems, web applications, mobile apps, and practical AI-enabled features.
Roadmaps, feature planning, delivery coordination, stakeholder alignment, and outcome-focused execution.
Linux administration, cloud hosting, performance tuning, monitoring, backups, and security hardening.
Laravel
AWS
CodeIgniter
RabbitMQ
Laravel
AWS
CodeIgniter
RabbitMQ
Small, loosely coupled services that scale and evolve independently
Dynamic vs static execution—choosing the right framework for research and production AI
Build secure, reliable, efficient, sustainable, cost-optimized, and high-performing systems on Amazon Web Services
Transformers revolutionized deep learning by replacing sequential processing with the Attention Mechanism, allowing models to weigh the importance of different input elements simultaneously. Introduced in the landmark paper Attention Is All You Need, this architecture enables parallel computation, captures long-range dependencies efficiently, and powers modern breakthroughs in NLP and beyond. Today, transformer-based models form the backbone of systems like BERT and GPT, driving applications from translation to generative AI.
A modular monolith is a software architecture that combines the simple deployment of a traditional monolith with the organized, loosely coupled structure of microservices. It acts as a single, unified codebase and deployment unit, while internally separating code into domain-specific, independent modules with clear interfaces (e.g., in systems like Shopify or GitHub).
Useful for workflows involving background jobs, notifications, integrations, async processing, and reliable cross-system communication.
| Site | Category | URL |
|---|---|---|
| 3Blue1Brown: Neural Networks (Ch. 1–2). Visual, intuition-first walkthrough of neurons, weights, and gradient descent/backprop basics. | Deep Learning - Neural Network | Neural networks |
| Laravel News | Laravel / PHP | https://laravel-news.com |
| AWS Architecture Blog | Cloud / AWS | https://aws.amazon.com/blogs/architecture/ |
| Martin Fowler | Architecture | https://martinfowler.com |
| InfoQ | Engineering | https://www.infoq.com |