# Oleksandr Semishan — AI integrator

> AI integrator with 20+ years in IT. I build LLM workflows, agents, forecasting systems and integrations into the CRM, POS and messenger systems a business already runs, and verify the result with test harnesses I write. Remote from Sofia, Bulgaria (UTC+2/+3), B2B contractor, with clients in the US, Canada and Europe. My working hours overlap with both Europe and the US. $85/hour for short engagements up to 20 hours; longer engagements by arrangement.

Also searched as: Forward Deployed Engineer, AI Solutions Engineer, AI Implementation Specialist, AI Automation Engineer.

## Contact
- E-mail: oleksandr@semishan.pro
- Telegram: https://t.me/vredin
- LinkedIn: https://linkedin.com/in/semishan

## Pages
- [Home](https://semishan.pro/): overview, cases, services, short answers
- [Hire me](https://semishan.pro/hire/): short projects up to 20 hours at $85/hour, longer work by arrangement, comparison with a consultant and an agency
- [Where I fit](https://semishan.pro/fit/): strengths, typical engagements, how we can work
- [Forward deployed AI engineer](https://semishan.pro/forward-deployed-ai-engineer/): what the role is and how I work this way

## Case studies
- [CRM for a network of martial-arts clubs](https://semishan.pro/cases/crm-for-martial-arts-club-chain/): CRM for a network of clubs: WhatsApp funnels, tracked mailings, segment reports, automatic trainer pay, online booking
- [Approval system for financial requests](https://semishan.pro/cases/financial-approval-system/): personal project (not in production); rules as data, per-request encryption, append-only audit log
- [Team forecasting system](https://semishan.pro/cases/team-forecasting-system/): deterministic Monte Carlo engine that predicts the effect of roster changes
- [Person dossier aggregator from official sources](https://semishan.pro/cases/person-dossier-aggregator/): many sources, one reviewed dossier

## Services
- [LLM integration into working systems](https://semishan.pro/services/llm-integration/)
- [Forecasts and dashboards](https://semishan.pro/services/forecasts-and-dashboards/)
- [Process and quality audit](https://semishan.pro/services/process-and-quality-audit/)

## Notes
- [What Is a Forward Deployed Engineer (and When a Company Needs One)](https://semishan.pro/notes/what-is-a-forward-deployed-engineer/): A forward deployed engineer works inside the client's business, uses its real data and systems, and takes an AI solution to production. What the role is and when a company needs one.
- [Forward Deployed Engineer vs Solutions Engineer: What Is the Difference](https://semishan.pro/notes/forward-deployed-engineer-vs-solutions-engineer/): Forward deployed engineer vs solutions engineer: who builds, who sells, who owns production. A side-by-side comparison and how to choose for an AI project.
- [How to Become a Forward Deployed Engineer: Skills and a Realistic Path](https://semishan.pro/notes/how-to-become-a-forward-deployed-engineer/): How to become a forward deployed engineer: the skills that matter, a realistic path from software engineering, and how to build proof of work without a job title.
- [AI Integrator vs AI Consultant: Who to Hire for What](https://semishan.pro/notes/ai-integrator-vs-ai-consultant/): AI integrator vs AI consultant: one builds and wires AI into your systems, the other advises. A clear comparison, with a simple rule for choosing.
- [How to Hire a Freelance AI Engineer: Scope and Acceptance Criteria](https://semishan.pro/notes/how-to-hire-a-freelance-ai-engineer/): How to hire a freelance AI engineer: define the task, ask for proof of shipped work, agree acceptance criteria and a price model for short projects.
- [How to Integrate an LLM Into Existing Business Software (CRM, POS, Messengers)](https://semishan.pro/notes/integrate-llm-into-existing-business-software/): How to integrate an LLM into existing business software such as a CRM, POS or messenger: where to put the model, what to keep deterministic, and how to test it.
- [Deterministic Forecasting vs an LLM: Why No Model Touches the Numbers](https://semishan.pro/notes/deterministic-forecasting-vs-llm/): Why a forecasting system should use deterministic code and Monte Carlo simulation, not a language model, for the numbers. Reproducibility, back-testing and honest ranges.
- [Approval Rules as Data, Not Code: How Flexible Approval Workflows Are Built](https://semishan.pro/notes/approval-rules-as-data/): How to build a flexible approval workflow: keep the rules as data, route by category, project, author and amount, and protect it with an append-only audit log.
- [Public Records Aggregation: What to Build and What to Buy](https://semishan.pro/notes/public-records-aggregation-build-vs-buy/): Public records aggregation from official sources: when to buy a data provider, when to build an aggregator, and how to design one so a failing source does not stop the rest.
- [AI Automation for a Small Business: Where to Start](https://semishan.pro/notes/ai-automation-for-small-business-where-to-start/): AI automation for a small business: how to pick the first task, what to automate first, what to keep human, and how to get a result in a few weeks.

## Own products
- [morphia](https://morphia.online): AI résumé and job-search workspace
- Slovko (https://slovko.app): language-learning service
- [TinyTales](https://tinytales.pro): personalised illustrated and voiced stories