Максим Филипп
@0005410
I build production LLM agents, RAG systems, and enterprise AI automation with Python.
What I'm looking for
At Nord Company, I built enterprise AI solutions including a LangGraph assistant for 1C:Enterprise that reduced analytics retrieval from minutes to seconds, and a multi-agent RAG documentation system that cut reporting from days to 30 minutes.
Previously at Baltica-Trans Group, I led AI adoption from MVP to production, deploying 10+ pipelines across LLMs, RAG, computer vision, and OCR. I automated 6,000+ documents each month, reducing manual processing time by 90%, and build end-to-end AI systems with Python, FastAPI, Docker, LangChain, and LangGraph.
Experience
Work history, roles, and key accomplishments
Spearheaded the development of complex enterprise AI solutions utilizing LangGraph, Qdrant, FastAPI, and Docker with CUDA.
• Engineered a LangGraph-based AI assistant for 1C:Enterprise with dynamic tool calling and autonomous self-correction, reducing business analytics retrieval from minutes to seconds.
• Developed an AI-powered multi-agent documentation system using Advanced RAG (ParentDocument,
Led the enterprise-wide adoption of AI from MVP to production, optimizing for scalability, fault tolerance, and inference costs.
• Deployed 10+ end-to-end AI pipelines integrating LLMs, RAG, CV, and OCR with enterprise infrastructure and APIs.
• Automated the processing of 6,000+ documents monthly, decreasing manual processing time by 90%.
Monitored ML models, automated ETL processes, and developed comprehensive BI dashboards for data-driven decisions.
Automated engineering calculations and BIM data analysis by developing custom scripts using Python and the Revit API.
Education
Degrees, certifications, and relevant coursework
Peter the Great St.Petersburg Polytechnic University
Магистр, Гражданское строительство
2015 - 2021
Peter the Great St. Petersburg Polytechnic University
Master, Civil Engineering
2015 - 2021
Pursued a Master's degree in Civil Engineering, focusing on advanced engineering principles and construction methodologies.
Availability
Location
Authorized to work in
Job categories
Skills
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