Lukas Jam
From: Poland
Location: Lodz, UA
On Useme since 10 December 2025
About me
My name is Lukas and I am a full stack ai automation developer. With 7+ years of experience building scalable web and AI-driven applications, I specialize in MEAN (MongoDB, Express, Angular, Node.js) and MERN (MongoDB, Express, React, Node.js) stacks. Whether you're launching an AI SaaS MVP or need advanced AI agents integrated into your platform — I GOT YOU!!
Here’s what I bring to the table: ✅ Full-Stack Wizardry – Frontend to backend, I handle it all. Clean architecture, reusable components, secure APIs, YOU NAME IT!! ✅ AI Agent & LLM Integration – I design and integrate intelligent AI agents, chatbots, and automation pipelines using LangChain, OpenAI, and FastAPI. ✅ AI SaaS Expertise – From MVP to scalable SaaS platforms with multi-tenancy, user management, and payment systems. ✅ Web Dev That Pops – Fast, responsive, and pixel-perfect UI/UX ensuring high user engagement and conversion.
portfolio: https://myportfolio-829l.vercel.app/
Categories
Portfolio
An application for buying and renting real estate. In this application I used Angular and also various libraries such as PrimeNG and NGRX. Also the application uses Angular Universal (SSR) for better search engine optimization (SEO).
N8N HealthCare Database Workflows!
Smart Assessor – AI-Powered WhatsApp Nutrition Tracking
At Taste of Paris, we specialize in crafting both sweet and savory crepes that are simply delectable.
AI Agent management platform
I built an advanced AI agent management platform for both technical and non-technical users. Delivered dense dashboards (real-time agent grid, system health, error analytics), workflow tools, and executive summaries.
The Alchemist German Bar Restaurant
We've created a platform that makes buying and selling properties easier It's full of guides that take you step by step through the process, whether you're looking to buy a home or sell one. Clear Instructions for Everyone
AI Chatbot with RAG
system that transforms how teams interact with internal knowledge. Using a Retrieval-Augmented Generation (RAG) pipeline powered by LangChain, OpenAI, and vector databases, the chatbot enables natural language querying over complex, unstructured data