Senior Backend & Applied AI Engineer at Unibots

Architected a production-grade AI campaign automation platform processing 500+ daily launches and 15K+ asynchronous jobs/day, with retry orchestration, rate limiting, and fault-tolerant recovery. Improved campaign CTR by 23% and reduced CPC by 12% by integrating Google Ads APIs with Gemini-powered automated bidding logic and real-time performance monitoring workflows. Built production time-series revenue forecasting pipelines on 500K+ records using Random Forest and XGBoost with engineered lag features, rolling averages, and forward validation, achieving 89% accuracy and enabling data-driven budget allocation. Cut analytics reporting latency from hours to minutes by designing scalable concurrent ETL pipelines across multiple marketing data sources, enabling near real-time business intelligence. Architected and scaled a multi-tenant, multi-domain content platform on Next.js (SSR, dynamic routing, edge caching) to 1,000+ monthly deployments and millions of page views, owning product end-