I'm an AI Engineer and Data Architect with 4+ years of experience building AI-powered automation systems, LLM integrations, and enterprise data platforms — from initial idea through deployment and ongoing maintenance.
AI & Automation:
I build automation workflows using n8n, Zapier, and Make, integrating LLMs including Claude (Anthropic) and OpenAI to automate business processes. I've built a customer support chatbot using a Retrieval-Augmented Generation (RAG) pipeline connected to a knowledge base, basic agentic workflows where an LLM triggers downstream actions, and custom LLM solutions using Hugging Face for text classification and sentiment analysis. I also work with computer vision (TensorFlow, Roboflow) for object detection.
Data Engineering:
Currently a Data Architect leading the transformation of a legacy Azure/SQL Server platform to Azure Databricks — building Python and Spark pipelines, governing data models, and automating Databricks job triggers and ingestion using n8n. Comfortable across ETL/ELT, data pipeline design, and data quality/governance practices.
Full-Stack Development:
Background in full-stack web development with C#, Python, SQL, React, Node.js, and REST/SOAP APIs, including secure third-party integrations (payment gateways, insurance platforms) for a production system.
How I work:
I take ownership end-to-end — design, build, deploy, and maintain — and work independently with minimal oversight. I'm comfortable adapting quickly to new AI tooling as it evolves.
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