"I design and build AI-powered systems that transform real-world workflows into intelligent, scalable solutions."
I am a professional AI Engineer and Machine Learning Engineer specializing in Generative AI and Full-stack AI Systems. I focus on architecting production-ready solutions that integrate advanced AI models into scalable enterprise workflows.
- 🔭 Expertise: RAG Pipelines, Autonomous AI Agents, and Computer Vision.
- 🚀 Portfolio: www.rubangino.ca
- 🧠 Focus: Building the bridge between cutting-edge AI research and business impact.
- 💬 Ask me about: Scaling AI systems, automation, and full-stack AI development.
- Generative AI Systems: Custom LLM integrations and fine-tuned models for specific domains.
- RAG Pipelines: Intelligent retrieval systems using vector databases (FAISS, Pinecone).
- Automation & AI Agents: Multi-agent workflows that handle complex, multi-step tasks autonomously.
- SaaS Development: Full-stack infrastructure to bring AI-powered products to global users.
Intelligent agentic chatbot for structured knowledge retrieval.
- Problem: LLMs lack real-time context and hallucinate on proprietary data.
- Solution: Implemented a Retrieval-Augmented Generation (RAG) system using LangChain and FAISS for sub-second retrieval.
- Impact: Achieved 95%+ accuracy in documentation retrieval for enterprise support.
- Tech: LangChain, FAISS, OpenAI, Python.
End-to-end AI workflow automation system for real-world business operations
- Problem: Business workflows are manual, fragmented, and inefficient across tools (emails, forms, CRM, reports).
- Solution: Built an AI-powered automation engine using n8n that connects APIs, processes data, and triggers intelligent workflows with LLM-based decision making.
- Tech Stack: n8n, OpenAI API, Webhooks, REST APIs, Node.js, Google Sheets / CRM integrations.
- Impact: Automated multi-step workflows, reduced manual operations by 60%+, and enabled real-time AI-driven decision automation.
End-to-end automation pipelines and real-time analytics dashboards.
- Problem: Fragmented business workflows with no centralized monitoring for AI agents.
- Solution: Built ETL pipelines to sync AI agent outputs with interactive Power BI / Looker Studio dashboards.
- Impact: Improved operational efficiency by 40% through automated reporting.
- Tech: Node.js, Power BI, Python, Looker Studio.
"I don't just build models — I build intelligent systems that integrate, scale, and create measurable impact. My goal is to transform complex challenges into seamless, automated solutions."
Building the Future, One Intelligent System at a Time.