I build fast, maintainable websites and web applications with Ruby on Rails, modern JavaScript, and AI-assisted workflows. I use AI tools and agents to speed up research, prototyping, debugging, and delivery — while keeping the final architecture, code quality, and business logic under strong developer control.
I combine hands-on engineering with AI tools and agents to move faster on research, prototyping, implementation, and iteration — without sacrificing code quality.
Robust server-side applications with Ruby on Rails, PostgreSQL, business logic, admin tools, and scalable architecture.
Responsive interfaces built with modern JavaScript and a strong focus on usability, conversion, and maintainability.
I use AI tools and agents to speed up repetitive work, technical exploration, debugging, and implementation support.
Real projects across SaaS platforms, e-commerce, corporate websites, booking and calendar systems, and hospitality platforms. Below are a few selected examples from a portfolio of dozens of projects delivered for businesses and startups.
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A coaching business platform with scheduling, invoicing, payments, CRM-style workflows, calendar integrations, and role-based business features.
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A large corporate and financial website serving market information, company data, announcements, and structured content for a major exchange platform.
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A hospitality and villa rental website designed to present property listings, destination content, and booking-focused pages in a clear, attractive format.
I combine engineering experience with practical use of AI tools and agents to help projects move faster and stay maintainable.
AI helps accelerate research, prototyping, and repetitive tasks, while architecture and final implementation stay under experienced developer review.
Maintainable code structure that supports long-term growth, updates, and easier collaboration.
I prioritize features around business goals, user needs, and practical outcomes instead of unnecessary complexity.
Using modern workflows and AI-assisted support means quicker feedback loops and better momentum during development.
A practical process that blends developer experience with modern AI-assisted execution.
We define goals, requirements, users, and the business problems the product needs to solve.
I shape the technical approach and can use AI tools to speed up research and early exploration.
Development moves with structured implementation, AI-assisted productivity, and strong code review discipline.
Final testing, deployment, refinements, and support to make sure everything is ready for production.
I use AI tools and agents to speed up workflows, but every project is grounded in real engineering judgment, maintainable code, and business-focused execution.
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