Profile / 01AI systems · research · notes

AI / ML Engineer

Fedor
Pakhurov

LLM systems, agents and applied AI products.

Builds applied AI systems around LLMs, retrieval, agents and multimodal models—with a focus on turning prototypes into useful products.

02 / Selected

Work at the intersection of models and operations.

Selected areas of practice, from production LLM services to the systems around them.

01

Applied LLM products

From prototype to dependable internal service.

RAG, agents, multimodal prototypes and the production integration required to make them useful.

Read case studies ↗

02

Multi-agent systems

Coordinated agents for inventory operations.

Supply, transit and export specialists, coordinated around context, proposed actions and explicit confirmation.

View architecture ↗

03

Research

Evaluating diffusion model hallucinations.

Complexity–entropy analysis, Rényi entropy, Bandt–Pompe and clustering for hallucination severity estimation.

Explore projects ↗

03 / Systems

AI transformation is a chain, not a feature.

  1. 01Paper
  2. 02Digitalization
  3. 03Decision history
  4. 04Business rules
  5. 05Dataset
  6. 06ML
  7. 07MLOps
  8. 08Infrastructure
  9. 09LLM
  10. 10Agents

04 / Knowledge

Notes built to be studied, not scrolled.

Structured technical collections with prerequisites, equations, permanent URLs and clear progression.