🏆 Senior Full-Stack Engineer | AI SaaS • AI Agents • RAG • Next.js | $200K+ Earned · 100% JSS
I build AI-powered SaaS products that are ready for real users, real data and real growth. From MVP architecture and full-stack development to AI Agents, RAG and production deployment, I can own the technical side of a product end-to-end.
My core stack is Next.js, React, TypeScript, Node.js, Python, FastAPI, Supabase and PostgreSQL, with OpenAI and Claude for production AI features. I also build React Native mobile applications when mobile is part of the product ecosystem.
PROBLEMS I SOLVE
Most clients come to me with one of these:
❌ An AI or SaaS MVP that works in a demo but isn't ready for production.
❌ A product that needs AI Agents, RAG or LLM features integrated into existing workflows.
❌ An existing SaaS platform that's becoming slow, difficult to maintain or expensive to extend.
❌ No clear technical architecture for moving from MVP to a scalable product.
❌ A FinTech or data-heavy product where security, integrations and reliable infrastructure matter.
❌ A web product that also needs a React Native mobile experience without maintaining completely separate systems.
I approach these as product engineering problems, not isolated development tasks. Architecture, data models, APIs, AI infrastructure and deployment decisions are made with the next stage of the product in mind.
150+ shipped projects. 20+ countries. Zero rebuilds requested.
────────────────────────────────────────
WHAT YOU GET
🔷 AI-Powered SaaS Product Engineering
I build SaaS MVPs and production platforms using Next.js, React, TypeScript, Node.js, Python, FastAPI, Supabase and PostgreSQL. This includes product architecture, authentication, subscriptions, payments, dashboards, APIs, third-party integrations and infrastructure.
🔷 AI Agents, RAG & LLM Integration
I build AI Agents, agentic workflows, Retrieval Augmented Generation (RAG), semantic search, function calling and LLM-powered product features using OpenAI API, Claude API, LangChain and LangGraph.
The goal is to make AI part of the actual product workflow, not a separate chatbot or proof of concept.
🔷 FinTech & Data-Heavy Products
I work with FinTech SaaS, financial dashboards, analytics platforms and products with complex data flows. This includes payment integrations, subscription systems, role-based access, data processing and backend architecture designed around reliability and maintainability.
Oleksandr S. earns an estimated $19k/mo. That's 12.8× the typical freelancer and more than 99.97% of everyone we track.
🔷 Full-Stack Development
I work across frontend and backend development with Next.js, React, Node.js, TypeScript, Python and FastAPI. I can take ownership of the complete application or step into an existing codebase to improve architecture, performance and maintainability.
🔷 React Native Mobile Development
When SaaS products need a mobile layer, I build React Native applications connected to the same APIs, authentication, data and AI infrastructure as the web platform.
🔷 Integrations, Automation & Infrastructure
OpenAI, Claude, MCP, n8n, Stripe, third-party APIs, AWS, GCP, Docker and CI/CD. I build the infrastructure around the product so AI, web, mobile and external systems work together reliably.
────────────────────────────────────────
MY APPROACH
Discovery first: I understand the product, users and technical constraints before choosing the architecture.
Architecture before code: stack, data, APIs, AI components and infrastructure have a clear plan.
Production over prototypes: I build for real users and real workflows, not just a successful demo.
Iterative delivery: working product increments and visible progress throughout development.
Built to scale and hand off: clean architecture and maintainable code that another engineer can continue working with.
────────────────────────────────────────
SDA COMPANY
Behind this profile is SDA Company, the software development team I founded. Over 5+ years we've worked across SaaS, AI, FinTech, healthcare, mobile and data-intensive products.
As CEO and lead engineer, I stay directly involved in architecture and technical decisions while having a team behind me when a product needs additional engineering, design or delivery capacity.
────────────────────────────────────────
💡 Building an AI-powered SaaS product, adding AI Agents or RAG to an existing platform or moving an MVP toward production? Send me the details and I'll take a look.
Technology Stack: Next.js, React, React Native, TypeScript, Node.js, Python, FastAPI, Django, Supabase, PostgreSQL, Firebase, MongoDB, OpenAI API, Claude API, AI Agents, RAG, LangChain, LangGraph, MCP, n8n, Stripe, AWS, GCP, Docker, CI/CD