AI Engineer

Professional Summary

Vadim Surin is a Senior AI/ML Engineer with over six years of experience in designing and deploying production-grade AI and machine learning systems. His core expertise lies in Python-based development, with a strong command of FastAPI, PyTorch, and Hugging Face, used to build scalable microservices and integrate advanced models into production environments. Vadim’s technical background includes deep knowledge of ML pipelines, vector databases (PGVector, cloud solutions), and agentic frameworks such as LangChain, LangGraph, and GraphRAG. He has hands-on experience across AWS (Bedrock, Model Garden), GCP (Vertex AI), and Azure ML, and has worked on projects involving enterprise integrations with systems like Confluence and Jira. He began his career as a Backend Engineer, developing ETL processes and data-driven systems, before moving into machine learning roles. At Imperial Fund, Vadim contributed to projects focused on Named Entity Recognition (NER) for financial documents, combining classical ML with applied data analysis. Currently, he specializes in end-to-end AI pipeline design, covering everything from system architecture to deployment and performance optimization. His work often involves retrieval-augmented generation (RAG) and graph-based reasoning, applying these methods to create intelligent, scalable, and secure AI systems.