Alfa-Bank
|Head of AI / ML Lead
Moscow, Moscow, Russian Federation
Summary
Led GenAI integration across the Content & UX Department at Russia's largest private bank, driving significant automation and strategic AI initiatives.
Highlights
Achieved 51% AI-generated content in routine tasks by Q4 2025, increasing from 0% at the start of the year and targeting 65% by end of 2026.
Developed and deployed 10 proprietary AI tools, enabling 121 specialists (74 designers, 47 editors) to increase task completion speed by 2-3x.
Reduced outsourcing spend by 50% and decreased CPC by 37%, resulting in cumulative savings of ~$670K USD by 2025.
Fine-tuned over 40 LoRA adapters for Flux 1/2 and Qwen Image models across 4 business lines, ensuring brand-consistent AI generation and developing advanced prompt engineering systems.
Architected and implemented agentic LLM pipelines (LangChain/LangGraph) and custom ML models (PyTorch, FastAI, RandomForest) for automated content resizing, generation, and quality validation.
Drove organizational transformation by hiring AI-specialized designers and editors, delivering 13 AI training intensives, and integrating AI experts into sub-teams.
Designed and implemented a comprehensive model evaluation benchmark, achieving automated quality assessment on par with expert human review using ALADIN KID, SIFID, and custom quality metrics.