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
Application Security Checklist 2026: A Phased 0-30, 30-90 and 90+ Day Roadmap
Application security checklist for 2026: a phased 0-30, 30-90 and 90+ day roadmap for secrets, containers, dependencies and AI credentials, backed by Orca Security 2026 data.
Agentic Commerce: How AI Agents Transact On-Chain
Agentic commerce is AI agents discovering, negotiating and paying for goods and services autonomously. This guide compares the major 2030 forecasts, walks through the machine-to-machine payment flow step by step and explains why on-chain rails fit agent transactions.
AR/VR Development Cost in 2026: Types, Platforms and Build Guide
AR/VR development cost in 2026 covering pricing by platform, hardware and complexity, plus the build process and how to reduce cost without adding risk.
Embedded Finance: Architecture, Use Cases and How to Build It in 2026
What embedded finance is and how to build it in 2026 - architecture, embedded finance vs banking as a service, payments, lending and insurance use cases and a real build roadmap.
Fraud in the Agentic Era: How Attackers Manipulate AI Agent Workflows
AI agents that read messages, call tools and move money create a new fraud surface. A taxonomy of the attack patterns emerging against agent workflows, prompt injection, deepfake-assisted social engineering, memory poisoning, tool abuse, with the defenses that work, grounded in Gartner's 2025-2026 incidence data.
UX/UI Design Cost in 2026: Process, Pricing and Deliverables
UX/UI design cost in 2026 covering pricing by deliverable, engagement model, the UX versus UI split and how to reduce design cost without cutting quality.
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