I design and build AI systems that automate real business workflows and turn data into practical decision tools.
My experience combines AI engineering, automation, and applied data science. I have built AI chatbots and conversational assistants that handle customer interactions, process requests, and trigger operational workflows by integrating messaging platforms with databases and APIs. One example is a chatbot system connected to a centralized database that automatically manages travel inquiries, checks availability, and coordinates operational tasks that were previously handled manually.
In addition to AI assistants, I design automation pipelines and AI agents that connect internal tools, databases, and external services. I work with Python, APIs, SQL databases, and workflow orchestration platforms to build systems that can retrieve information, execute tasks, and support teams in their daily operations.
I also have experience developing data systems and analytical tools. I have built software for trading research and backtesting that processes historical market data, evaluates strategies, and generates statistical insights to support decision-making. This work required designing data pipelines, performing quantitative analysis, and creating reliable evaluation frameworks.
My focus as an AI engineer is building practical AI systems that integrate into real environments: AI agents, automation workflows, data pipelines, and decision-support tools that help organizations operate more efficiently and scale their processes.
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