Dmitry M

Senior AI Engineer and Senior Data Scientist with 8+ years of experience designing, developing, and deploying production-scale Machine Learning, Generative AI, and data-driven solutions across cloud environments. I specialize in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Natural Language Processing (NLP), predictive modeling, recommendation systems, statistical analysis, and scalable ML platforms. Experienced in building end-to-end AI solutions covering data exploration, feature engineering, model development, experimentation, evaluation, deployment, monitoring, and optimization using modern MLOps practices. Strong background combining data science, machine learning engineering, and software development to transform complex business problems into reliable production systems. Hands-on experience building AI applications using Python, AWS, Azure, Docker, Kubernetes, LangChain, LangGraph, vector databases, and cloud-native architectures. Core expertise: • Generative AI & Large Language Models (LLMs) • Retrieval-Augmented Generation (RAG) • AI Agents & Agentic AI Systems • Prompt Engineering & LLM Evaluation • LangChain & LangGraph • Natural Language Processing (NLP) • Machine Learning & Deep Learning • Predictive Modeling & Forecasting • Recommendation Systems • Statistical Modeling & Experimentation • Customer Behavior Analytics • Semantic Search & Embedding Models • Vector Databases • Feature Engineering • Model Deployment & Production ML Systems • MLOps & ML Infrastructure • Cloud AI Platforms (AWS / Azure) • Python, SQL, PyTorch, TensorFlow I enjoy solving complex problems at the intersection of AI research, data science, and software engineering, building intelligent systems that create measurable business impact.