Steve M.

AI Developer | AI Agent & App Development | AI Automation/Integration

Most companies know they “should use AI,” but they’re unsure where it actually makes an impact. That’s where I come in. 🟢📞 I’m currently offering a free 15-minute consultation call to review your use case and outline the smartest, highest-ROI approach for your business. 👉 Message me or send a proposal to book your free consultation call. I build AI automation systems and apps, AI agents, RAG applications, and LLM-powered workflows that help businesses reduce manual work, improve accuracy, and save time in real operations. Over the past 6+ years, I’ve led AI engineering teams, delivered enterprise AI solutions, and built automation systems used in live business environments across the EU. My work focuses on practical, reliable, high-ROI AI, not hype or unfinished prototypes. ________________________________________ WHAT I BUILD AI Integration/Automation & AI Agents • Multi-step workflow automation using n8n and custom orchestration logic • Process automation with custom AI agents • AI Integration tools powered by structured tool-calling and external API actions • MCP servers enabling multi-tool execution from ChatGPT or Claude • AI agents for intake, routing, support workflows, and internal task execution LLM & NLP Systems • LLM-based assistants for operations, support, research, and internal tools • Domain-specific LLM workflows tailored to business rules and internal knowledge • NLP pipelines for classification, extraction, summarization, and semantic search • OpenAI and Claude integrations for AI copilots, internal assistants, and smart workflows RAG & Retrieval Systems • Vector database setup using Elasticsearch, Supabase, Pinecone, and similar platforms • Embedding pipelines, document chunking, retrieval logic, and context injection • High-accuracy knowledge systems for internal documents, SOPs, policies, and support data • Retrieval systems that improve answer quality, grounded outputs, and enterprise search use cases Backend & Infrastructure • Python microservices built with FastAPI, Flask, and REST APIs • Docker deployments and containerized backend services • SQL-based data pipelines, ETL automation, and backend integrations • API integrations with SaaS tools, CRMs, Google Workspace, and internal platforms • Production-ready architecture designed for reliability, maintainability, and scale ________________________________________ HOW I WORK 1. Understand the workflow first Before writing a line of code, I map out your current process to identify where AI drives measurable value: accuracy, time savings, cost reduction, or throughput improvements. 2. Architect a real solution I design a system that integrates cleanly with your tools, data, and business logic. No “demo scripts.” No fragile hacks. 3. Build a production-ready AI system Whether it’s an automation pipeline, LLM application, RAG system, or full backend service. I ship solutions engineered for scale, observability, and long-term maintainability. ________________________________________ SELECT RESULTS • Reduced internal processing time by 70% for a client through a fully AI-driven workflow • Deployed a scalable RAG search system for 20k+ documents • Built an internal AI operations assistant used daily by non-technical teams • Automated multi-step business processes that previously required multiple employees • Delivered end-to-end AI systems for multi-year EU-funded projects • Built AI-powered workflows for call intake, email automation, document handling, and operational support ________________________________________ WHY CLIENTS LIKE WORKING WITH ME ✓ I understand both the technical and operational sides of AI ✓ I plan systems like an engineer and refine them like a product owner ✓ I communicate clearly and consistently ✓ I build solutions that survive real-world usage ✓ I design for long-term maintainability, not one-off hacks ________________________________________ TECH STACK AI & LLM: OpenAI, Claude, embeddings, RAG, vector DBs, fine-tuning, evaluation Automation & Agents: n8n, LangChain, custom agents, MCP, tool-calling workflows Backend: Python, FastAPI, Flask, REST APIs, microservices Infrastructure: Docker, Redis, Elasticsearch, Celery/RQ Data & Systems: SQL, PostgreSQL, SQL Server, ETL pipelines ________________________________________ IF YOU WANT AI THAT SAVES TIME, REDUCES COSTS, AND WORKS IN PRODUCTION… Send a message with: 1. The workflow or problem you want to improve 2. What your ideal “automated” version looks like 3. Any existing systems or tools you're using I’ll review your use case and outline the smartest path forward, even if that means telling you what not to build. Let’s turn your operations into something far more efficient.