AI-Driven Campaign Optimization Platform
Key Expertise
Experience
10+ years
Timezone
CET (GMT +1)
Overview
A telecom company had large volumes of messaging and campaign data but no practical way to use it for targeting or personalization. The goal was to build production ML systems that could directly improve campaign performance.
Achievements
Several ML-powered features were deployed to production and used by marketing teams. Campaign revenue increased substantially without increasing traffic costs.
Responsibilities
- Collected requirements directly from marketing and operations teams
- Built NLP pipelines for message classification and user profiling.
- Developed a recommender system to match campaigns to likely recipients.
- Migrated data processing and ML workloads to GCP.
- Built simple internal tools so non-technical users could manage campaigns.
Key Expertise
Experience
10+ years
Timezone
CET (GMT +1)
This project was delivered by
Anton O.
More Projects by Anton O.
Live Streaming Reinforcement Learning Recommendation System
Lead AI Engineer / Architect
A consumer-facing live streaming platform needed to improve real-time content recommendations under strict latency constraints. Traditional offline-trained models were slow to adapt to user behavior and changing content dynamics. The goal was to design a system that could learn continuously from live user interactions.
Quantitative Research Infrastructure Optimization
Data / Platform Architect
A crypto investment fund needed to run large-scale backtests over long historical time ranges. An initial cloud-first design using managed services proved too expensive once realistic workloads were tested.
Ready to Build Your AI Team?
Get matched with the right AI experts for your project. Book a free discovery call to discuss your requirements.
We respond within 24 hours.