Data & AI Engineering Intern at Polaris Association

Internship focusing on data & AI engineering tasks: built automated data-labeling workflows, statistical computation, and file organization; integrated data into an AI agent's database; developed RAG-based chatbots to help citizens understand local roles and assist municipal officials; automated internal processes via API integrations using Zapier, n8n, and Python scripts; managed CRM contacts, tracking, and automated reporting; contributed to the PETROSEN project with an AI system for gas-pipeline-leak detection; built NLP models for customer churn prediction; designed a cosine-similarity-based recommendation engine; trained a CNN for plant disease detection; piloted real-time data pipelines with Airflow and Kafka and implemented data replication with MongoDB.