Built and connected AI products, data systems, and operational tools that helped financial teams turn complex data into practical recommendations and workflows.
Overview
The work covered several financial AI and data projects rather than a single product.
It connected user-facing applications with data pipelines, machine-learning systems, backend services, and the infrastructure needed to deploy and operate them.
What I did
Built the frontend for an AI wealth advisory chatbot and integrated its conversational APIs.
Built a customer-service chatbot proof of concept using n8n and a WhatsApp integration layer.
Built Airflow pipelines for market data processing, model workflows, and downstream delivery while working closely with data scientists.
Developed a Java gRPC service connecting Python applications and Airflow pipelines with AWS MSK.
Built a customer analytics pipeline with Airflow and ClickHouse.
Prepared VM environments, containerized services, and CI/CD deployments with DevOps.
Supported ongoing maintenance, issue resolution, and improvements across the projects.