Igor Goncharenko

Experience

1. Team Lead - Data Science

   Sberbank

   May 2019 — Present · Moscow, RU

   AI/ML executive with 5+ years of experience building LLM-based products and leading technical teams. Specialized in developing production-ready generative AI systems. Core expertise includes LLM fine-tuning (LoRA), RAG implementation, multimodal model development, and MLOps. Led development of AI solutions for marketing applications, delivering:LLM Systems: Implemented multi-agent architecture chatbots for marketing professionals Content Generation: Fine-tuned Flux1.dev model and open-source LLMs for brand-specific image creation and tone of voice for text with LoRA techniquesReal-time Analytics of News and Social Media: Built pipeline for social media monitoring based on LLM-based topic modelling Computer Vision: Trained ViT based model for eye-tracking heatmap generationSpeech Processing: Deployed audio transcription system for live TV/radio broadcastsRAG Systems: multi-hop QnA dialogue talk2data system (vectordb, HyDe, agentic, Text2SQL) Technical fine-tuning: LoRA, QLoRA, PEFT, parameter-efficient methodsGenerative AI: SDXL, Stable Diffusion, Flux, diffusion modelsFoundation models: chatGPT, Claude, Llama, Mistral, Gemma, Qwen, DeepSeek, GigaChatRAG systems: vector databases, hybrid search, context optimizationComputer vision: object detection, image classification, semantic segmentationNLP: entity extraction, sentiment analysis, topic modeling, embeddingsMLOpsModel deployment: vLLM, ollamaMonitoring: GrafanaCI/CD: GitLab CIContainerization: Docker, KubernetesProgrammingLanguages: Python, Java, JavaScript, SQLFrameworks: PyTorch, FastAPI, Spring, Vue.js, React, aiogramData processing: Pandas, NumPy, Spark, HadoopDatabases: PostgreSQL, MySQL, Weaviate, Elastic, ChromaMessage Brokers: Redis, RabbitMQCloudPlatforms: ML Space, Immers, Runpod, Vast, GCPServices: Kubernetes, VM instances, object storage, serverless

Education

• Peoples' Friendship University of Russia

  MS, Physics

  2005 — 2007

• Independent University of Moscow

  Mathematics

  2002 — 2005

• University of California, Merced

  PhD, Physics

  2007 — 2010

Skills

• Market Risk
• Options
• Applied Mathematics
• Quantitative Finance
• Derivatives
• Structured Products
• Stochastic Calculus
• Mathematical Modeling
• Volatility
• Quantitative Analysis
• Quantitative Analytics
• Trading Strategies
• Commodity
• Equities
• Fx Options
• Trading
• Risk Management