I help startups and SaaS companies build, integrate, and scale AI-powered web applications—from MVP to production-ready platforms.
I’m a Full-Stack Engineer with extensive experience in AI-integrated SaaS development, specializing in turning complex ideas into reliable, scalable products. My work sits at the intersection of modern web engineering and practical AI adoption, helping businesses ship faster, automate smarter, and grow with confidence.
What I do best:
1️⃣AI SaaS application development (end-to-end)
2️⃣LLM / AI integration into existing web products
3️⃣Startup MVP → scalable production architecture
4️⃣Full-stack web development with clean, maintainable systems
5️⃣AI-powered automation and intelligent features (search, chat, workflows)
I don’t just “add AI” for the sake of it. I focus on real business value—features that improve user experience, reduce operational cost, or unlock new revenue streams.
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I worked as a Backend & Infrastructure Engineer on a data annotation platform designed to support large-scale, high-quality dataset creation for AI and machine learning workflows.
The goal of the project was to provide a reliable, scalable backend system capable of handling annotation jobs, user workflows, and data storage efficiently, while ensuring system stability as usage scaled.
I worked as an AI SaaS Developer, building a scalable, multi-tenant web platform that integrated AI features with advanced workflow tools. The platform included AI chatbots, PDF-based question-answering, Kanban board generation, and robust authentication/authorization systems for enterprise users.
The goal was to provide a secure, subscription-based SaaS platform with role-based access control, enabling businesses to manage workflows, AI insights, and subscriptions in one seamless experience.
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