Data Engineering

Why we migrated from GPT-4.1 to Claude in our brand intelligence pipeline

Update: this post describes the original GPT-4.1 implementation of the brand asset extraction pipeline. The system has since been migrated to Claude. See Why we migrated from GPT-4.1 to Claude in our brand intelligence pipeline for the engineering story behind that migration

What we learned shipping production multimodal AI

Industrial data pipelines, built to carry AI

Transforming Logistics with Advanced Data Analytics

Our Client, a key player in logistics since 2013, embarked on an ambitious project to revolutionize its data infrastructure. They leveraged cutting-edge technologies to optimize operations, enhance decision-making, and unlock their full logistics potential. By integrating MongoDB and microservices into Snowflake's cloud data warehouse, alongside Tableau for advanced visualization, Our Client transformed its logistics landscape.

Streamlining Data Engineering for Influencer Marketing

Enhancing Data Engineering for Our Client (An Influencer Marketing Solution): Seamlessly Integrating Multifaceted Data Streams and Enabling Real-time Processing with Airflow and dbt