At Qualcomm, I plan and build AI agents that develop and maintain integrations for the team’s data sources. I also design agentic workflows to maintain Elasticsearch indexes and automate data-pipeline ingestion and transformation.
I built a customer-facing AI agent that answers product questions and proposes solutions, grounding its responses in provided context and information fetched from relevant MCP servers.
At Qualcomm, I also create and maintain ETL pipelines and help ensure the stability and performance of Elasticsearch clusters in production. I use Python, Bazel, Zuul, and Ansible for infrastructure automation, and maintain Kibana and Grafana dashboards for monitoring.
As a voluntary Junior Data Engineer at Intelligent Embedded Vision, I developed a Python Flask application that interfaced with LLM models for automated image classification. I prepared datasets and containerized the application with Docker, managing storage on Google Cloud Platform.
