
Egor Pichugin
@egorpichugin
I build production LLM systems with resilient workflows, agent tools, and human review.
What I'm looking for
At RoyalMovingCo, I own architecture, deployment, and support for a production AI platform that reconciles CRM records with customer calls. I lead two developers and built resilient stateful processing with idempotency, retries, fallbacks, and stage recovery.
I improved fact extraction through precision/recall evaluation on 60 manually labeled reports, reaching up to 0.93 F1. I also added evidence, confidence scores, human review, structured logging, and MCP tools for CRM reports.
Previously at Infineon Technologies, I shipped a RAG copilot in VS Code using LLMs, embeddings, and vector search. I built MCP integrations and supervisor/sub-agent workflows, deployed Qwen2.5-7B on premises, and delivered .NET 8, Vue, and TypeScript services through Docker, OpenShift, and Jenkins CI/CD.
I bring additional experience building Python and C# automation, Revit integrations, and 3D-generation workflows, alongside ongoing studies in Robotics and Artificial Intelligence.
Experience
Work history, roles, and key accomplishments
AI Engineer
RoyalMovingCo
Jun 2026 - Present (3 months)
Owns architecture, deployment, and support for a production AI platform reconciling CRM records with customer calls. Leads two developers and improved fact extraction F1 to 0.93 through precision/recall evaluation on 60 labeled reports.
Education
Degrees, certifications, and relevant coursework
University of Klagenfurt
Bachelor of Science, Robotics and Artificial Intelligence
Pursuing a Bachelor of Science in Robotics and Artificial Intelligence, expected to graduate in Summer 2027.
Peter the Great St. Petersburg Polytechnic University
Master of Science, Civil Engineering
Completed a Master of Science in Civil Engineering in 2017.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/EgorPichugin/makeathonSalary expectations
Job categories
Skills
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