Building intelligent agents with LLMs, LangChain, and custom ML models

Creating workflows and pipelines that eliminate manual work

Building dashboards, analytics tools, and ETL pipelines

• **🎓 Master ** in Computer Science / Data Science

  • [Ural Federal University], [2026]
  • Focus: Machine Learning, AI, Data Engineering

• 📚 Continuous Learning

  • AI/ML Specializations

  • Advanced Python Development

  • Cloud Architecture

• ✅ AWS Certified Solutions Architect

• ✅ Google Cloud Professional Data Engineer

• ✅ Deep Learning Specialization (DeepLearning.AI)

• ✅ LangChain for LLM Application Development

• ✅ Apache Airflow Fundamentals

• ✅ Docker & Kubernetes Certified

• ✅ Intelligent chatbots & virtual assistants

• ✅ RAG systems with custom knowledge bases

• ✅ Multi-agent AI workflows

• ✅ Document processing & analysis

• ✅ Recommendation engines

• ✅ Sentiment analysis tools

• ✅ Custom LLM applications

• ✅ Data pipeline automation (ETL/ELT)

• ✅ Workflow orchestration

• ✅ API integrations

• ✅ Report generation systems

• ✅ Real-time data processing

• ✅ Scheduled task automation

• ✅ Process optimization

• ✅ Interactive dashboards

• ✅ Business intelligence tools

• ✅ Predictive analytics

• ✅ Data visualization

• ✅ KPI tracking systems

• ✅ Custom analytics platforms

• ✅ Data warehouse solutions

• ✅ RESTful API development

• ✅ Microservices architecture

• ✅ Database design & optimization

• ✅ Cloud infrastructure setup

• ✅ Containerization & deployment

• ✅ Performance optimization

• ✅ System integration