Adster – High-Performance Backend Systems for Ad Delivery
Designed scalable, low-latency backend systems at Adster to support intelligent ad delivery and categorization using GenAI and Google Cloud.
Date: 2024
Client: Adster
Role: Product Engineer
BackendGoBigQueryMongoDBGCPGenAI
Overview
At Adster, I worked on backend services powering real-time ad delivery pipelines that handled millions of requests with strict latency and throughput requirements. My role involved building, scaling, and optimizing these services using Go, Google Cloud Functions, BigQuery, and MongoDB.
GenAI-Driven Ad Categorization
One of my most impactful projects was building a content delivery platform where ad descriptions were processed using Gemini (GenAI) to extract categories. These were then matched with user interests to prioritize and personalize ad delivery in real time.
Tech Stack Highlights
| Tech | Purpose |
|---|---|
| Go | Core backend development and performance-critical endpoints |
| Google Cloud Functions | Serverless compute for event-based triggers |
| BigQuery | Handling large-scale analytics and segmentation |
| MongoDB | User profiles, metadata, and content storage |
| Gemini / GenAI | Ad content parsing and categorization |