Founder & engineering leadership
Dmytro Nasyrov
Founder and CTO Pharos Production
Founder of Pharos Production, PhD in Artificial Intelligence and lecturer at Igor Sikorsky Kyiv Polytechnic Institute.
About
Dmytro Nasyrov is the founder and CTO of Pharos Production, a software development and AI engineering company since 2013. With 23 years of engineering experience and a PhD in Artificial Intelligence, he leads engineering culture at Pharos and lectures at Igor Sikorsky Kyiv Polytechnic Institute.
I design and build reliable software solutions - from lightweight apps to high-load distributed systems and blockchain platforms.
PhD in Artificial Intelligence, MSc in Computer Science (with honors), MSc in Electronics & Precision Mechanics.
Education and credentials
- PhD in Artificial Intelligence
- Lecturer, Igor Sikorsky Kyiv Polytechnic Institute
- Alumnus, Igor Sikorsky Kyiv Polytechnic Institute
Areas of expertise
- Artificial Intelligence - LLM integration, RAG, agents, ML platforms
- Blockchain protocols - DeFi, NFT, smart contracts, dApps
- FinTech platforms - payments, compliance, RegTech
- Custom software development - web, mobile, enterprise
- DevOps and cloud architecture
- Engineering leadership - strategy, technical due diligence
Career timeline
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Founder and CTO, Pharos Production
Software development and AI engineering. 90+ engineers, 110+ apps for 200+ clients across 28 industries. Aligned with ISO 27001, SOC 2, HIPAA, PCI DSS and GDPR frameworks.
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Lecturer, Igor Sikorsky Kyiv Polytechnic Institute
Teaching engineering at Ukraine's leading technical university.
Ideas from practice
Articles by Dmytro Nasyrov
AI Development Cost in 2026: Complete Pricing Breakdown
How much does AI development cost in 2026? AI development costs range from $10,000 for simple chatbots to $500,000+ for enterprise multi-agent systems. The final cost depends on four factors: model complexity, data preparation needs, integration scope and ongoing inference costs. AI development cost by project type Simple AI features like FAQ chatbots and basic […]
Multi-Agent Systems Guide for Enterprise 2026
Multi-agent systems represent a fundamental shift in how enterprises build AI. Instead of relying on a single monolithic model to handle every task, multi-agent architectures deploy specialized AI agents that collaborate, delegate and coordinate to solve complex business problems. This guide covers the architecture patterns, frameworks, coordination strategies and production deployment lessons that engineering teams […]
SaaS Development Cost: Complete Breakdown 2026
Complete SaaS development cost breakdown for 2026. MVP to enterprise tier pricing, hidden costs, cost reduction strategies and monthly operational expenses.
AI Automation Trends 2026: What Businesses Need to Know
AI automation in 2026 has moved far beyond chatbots and simple workflow triggers. Enterprises are deploying autonomous AI agents that plan, reason and execute multi-step business processes with minimal human oversight. This article covers the most consequential AI automation trends shaping enterprise operations - from agentic process automation and AI-native software development to autonomous supply […]
Machine Learning for Business 2026: A Practical Guide
Practical guide to implementing machine learning for business in 2026. Covers ML use cases across industries, ROI frameworks, implementation steps, cost analysis and common pitfalls with specific numbers and benchmarks.
AI in Healthcare: Applications, Benefits and Challenges in 2026
AI in healthcare guide for 2026. Diagnostic AI, clinical applications, HIPAA compliance, FDA regulatory pathways and implementation roadmap with cost benchmarks.
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