Turning business vision into systems that scale.
I'm Dzmitry Harupa, Head of Architecture. 17 years of high-load systems, 10 of them in iGaming. I design architecture, take AI/ML to production and still write code myself. TOGAF, SAFe and AWS certified. 100% remote.
Four ways to start.
From a one-off consultation to a fractional CTO role — pick the depth you need now.
Advisory sessions
Architecture reviews and roadmap sessions. One call — specific recommendations.
- Free 30-min intro call
- Deep advisory session (90 min)
- Expert consulting packs
POC & delivery
From concept to a working prototype. Architecture documentation is part of the result.
- POC Starter: scope & architecture
- POC Build: working prototype
- Architecture package with ADRs
Ongoing partnership
Technology leadership part-time: from monthly advisory to a full CTO roadmap.
- Advisor Lite: monthly guidance
- Strategic CTO advisor
- Fractional CTO: full roadmap
Workshops & training
Hands-on workshops for your team: architecture, AI/ML, working with ADRs.
- Architecture workshops
- AI/ML strategy sessions
- Remote & on-site
Strategy through code — one architect, the whole stack.
Enterprise architecture, AI/ML and ten years of iGaming domain knowledge — hands-on, in code.
Technology strategy & roadmap
- IT strategy aligned with business goals
- Product roadmap
- TCO optimization & FinOps
Cloud & enterprise architecture
- AWS, GCP, Kubernetes
- Microservices & event-driven design
- TOGAF enterprise architecture
AI/ML strategy & implementation
- AWS Bedrock, SageMaker
- LLM, RAG & AI agents
- AI process automation
High-performance development
- Go, TypeScript, Python, C++
- SAFe & Lean-Agile delivery
- DevOps and CI/CD pipelines
iGaming expertise
- Platform architecture: PAM, payments
- Game math, RNG development
- Regulatory compliance
Documentation & standards
- Architecture Decision Records (ADR)
- Technical specifications
- Team standards & guidelines
Senior expertise without a full-time hire.
Cost effective
Senior-level expertise without a full-time salary and overhead.
Flexible scale
The scope changes with your needs. You pay for hours, not a seat.
Fast start
Hiring a CTO takes months. Here the first call is this week.
Low risk
Start with a free consultation. A retainer comes after you see results.
Hands-on delivery
Working prototypes, executable architectures, code in production.
100% remote
Flexible timezone coverage and async communication.
Outcomes you can measure.
AI call-center automation
>$1.2M saved per year on AWS Bedrock & SageMaker.
NATS event mesh at scale
200K+ msgs/sec across 1000+ systems, <100ms p99 latency.
Monolith → microservices
40% of transactional load migrated; release lead time down 57%, deploys under 15 minutes.
Decisions on data. Results in numbers.
An architect who stays until it ships.
Ten years in iGaming: Casino, Sports, Poker, PAM, payments and CRM. Production AI/ML on AWS Bedrock, SageMaker and LangGraph.
I grew an architecture practice from 6 to 12 architects plus 20 system analysts, mentored three of them to Head-of-Technology roles and led 200+ engineers. I still write production code.
Notes on architecture and AI.
What I work with: architecture, AI/ML, iGaming.
How much of a company can one person hold in their head?
AI lets one person do more and more. What will remain of familiar teams, and how many decisions can that person handle?
ReadCRM on Markdown, part 2: 27 hours, 23 commits and a catalog of failures
The anatomy of a Markdown CRM built with an AI agent on a live project — told through its failures, because that's where every rule came from. Someone else's words recorded as the owner's voice, a ready-made comment posted under a stranger's post, a user's silence explained by the product while the user was moving house. Three breeds of failure — data, process, interpretation — each with its mechanism and price; four decisions I reversed within hours of making them; and the main lesson of the whole exercise: a rule without a guard does not survive, even for the person who wrote the rule two paragraphs above.
ReadCRM on Markdown, part 1: how to create a CRM in an evening — step by step, with an AI agent that finds leads
A step-by-step guide to a working CRM without a database, SaaS or a single dependency: install Claude Cowork or Claude Code, add the md-crm skill in two commands or one ZIP, connect the Chrome extension — and the agent triages LinkedIn search results you scroll, files contact cards and keeps the board honest. You talk to it in plain words: add a contact, log her reply, what's on fire. Same skeleton runs an ATS for hiring. It ends with the final split — what the agent takes over and what stays human — and a way to reach me if you want it wired to your funnel.
ReadTell me what you're building.
Describe the problem in a couple of paragraphs — or skip ahead and book a free 30-minute call.
Free 30-min strategy call
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