I am a Senior AI Engineer with more than seven years of experience spanning software development, data engineering, and artificial intelligence systems. I build practical, production-ready Python and Azure applications that turn complex data and documents into useful business outcomes.
My core focus is generative AI, retrieval-augmented generation, document intelligence, workflow automation, and structured data extraction. I have developed AI-powered platforms for commercial lease abstraction, knowledge assistants, and data-processing workflows.
I work extensively with Python, SQL, APIs, LLM frameworks, cloud services, and data orchestration tools. My experience includes designing modular ELT pipelines, warehouse data models, AI integrations, and reliable validation and monitoring processes.
I have delivered multi-tenant document-processing solutions using Azure Blob Storage and Cosmos DB, with support for OCR, extraction workflows, streaming uploads, progress reporting, and fault-tolerant processing. I prioritize clear validation, maintainable architecture, and measurable improvements in operational efficiency.
My background also includes full-stack development and data analysis. I have built responsive React interfaces, developed backend APIs, migrated legacy Node.js scripts to Python, automated data collection, and performed NLP sentiment analysis.
I am motivated by solving real business problems with reliable AI systems. I combine hands-on engineering experience with a practical approach to prompt engineering, model evaluation, data quality, and scalable cloud delivery.
