Maxim Kalpin

Enhanced and maintained data architecture for accessible and efficient processing, developing data orchestration and ETL pipelines. Built AI/ML infrastructure for continuous model trainings and data science workflows, while also developing high-quality system and architecture documentation. Built cloud architecture using Azure services including DevOps, Docker, VMs, Blob Storage, Fabric, and Airfl

Managed and engineered data for international cancer research projects, including data validation pipelines and database optimizations. Improved predictive modeling for clinical results and lab workflow optimization, providing data-driven insights and outcome forecasting. Performed DevOps tasks such as system management, database setup, and CI/CD integration.

Enhanced document categorization accuracy by 20% for legal AI applications, streamlining case management. Trained and deployed LLAMA models for secure, on-premises client use, ensuring data privacy and compliance. Developed NLP pipelines for contract analysis, clause extraction, and legal risk assessment, integrating AI-driven knowledge retrieval systems for faster legal research.

Aggregated over 50,000 customer reviews using advanced data scraping and text mining techniques. Conducted sentiment analysis with transformer models, uncovering key product preferences and trends. Delivered actionable, data-driven insights to guide product development and marketing strategies, enhancing customer satisfaction.

Built a custom voice assistant for smart home systems, incorporating speech recognition and natural language understanding. Performed data mining across multiple sources for dataset creation, improving predictive modeling and behavior analysis.

Studied the fundamentals of artificial intelligence, including machine learning, deep learning, and natural language processing. Gained expertise in developing AI solutions and understanding their applications.