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verlihirsh/README.md

Hi, I'm Olga 👋

Software Developer · Engineering Lead · LLM Agent Systems Engineer

I am a software developer with more than a decade of professional experience in backend engineering, system architecture, and technical leadership.
My current focus is the design, orchestration, and practical application of LLM-driven agent systems for real-world engineering tasks.

I work at the intersection of:

  • classical software engineering,
  • distributed systems,
  • automation and orchestration,
  • applied AI (LLMs as infrastructure, not demos).

What I do

  • Design and build production-grade backend systems
  • Architect APIs, data models, and integrations under real constraints
  • Lead engineering teams and technical decision-making
  • Build and operate LLM agent systems (task decomposition, tool use, coordination, evaluation)
  • Turn ambiguous product ideas into working, maintainable systems

I strongly prefer explicit architecture, observable systems, and boring, reliable solutions over clever abstractions.


Core Expertise

Software Engineering

  • Backend architecture and system design
  • API development (REST, GraphQL, integrations)
  • Databases: PostgreSQL, MySQL, Redis, ElasticSearch
  • Performance optimization and refactoring
  • Security-driven development (PCI, risk assessment)

Languages & Platforms

  • Ruby / Ruby on Rails (deep production experience)
  • Go, Python (infrastructure, tooling, agents)
  • SQL (design, optimization, show me the query plan)
  • Docker, AWS, Heroku
  • Distributed systems in practice, not theory

LLM & Agent Systems

  • Multi-agent architectures
  • Tool-augmented agents
  • Agent orchestration and coordination
  • Prompt engineering as system design
  • Evaluation, failure modes, and control surfaces
  • Using LLMs as workers, not oracles

Principles I Work By

  • Simplicity beats cleverness
  • Most problems are solved by clear data flow
  • 90% of tasks should be solved with boring code
    The remaining 10% are why experience matters
  • LLMs amplify engineers; they don’t replace thinking
  • Architecture is a responsibility, not a diagram

Currently Interested In

  • Agentic software development
  • LLM infrastructure and orchestration
  • Developer tools powered by agents
  • Knowledge systems and automation
  • AI-assisted software engineering workflows

Links

Pinned Loading

  1. llm-docs llm-docs Public

  2. jelvim jelvim Public

    Lua

  3. banner-kit-go banner-kit-go Public

    Go