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
LangChain vs CrewAI vs AutoGen: AI Agent Framework Comparison 2026
Quick Comparison: LangChain vs CrewAI vs AutoGen Factor LangChain/LangGraph CrewAI AutoGen Best for Production systems, complex state Role-based teams, rapid prototyping Code generation, research tasks Learning curve Steep (large API surface) Moderate (role-based abstraction) Moderate (conversation patterns) Production readiness High (LangSmith observability) Medium (growing ecosystem) Low (research-oriented) Multi-agent LangGraph for orchestration Built-in role assignment Conversation-based […]
FinTech Compliance Checklist 2026: PCI DSS, SOC 2, GDPR and Beyond
What compliance certifications does a FinTech product need? The required certifications depend on your product type, target market and data handling practices. At minimum, most FinTech products need SOC 2 Type II for data security, PCI DSS if handling payment card data and GDPR compliance for EU users. PCI DSS compliance checklist PCI DSS applies […]
LLM Fine-Tuning Guide: LoRA, RLHF and DPO Explained
Fine-tuning large language models transforms general-purpose AI into domain-expert systems that understand your industry terminology, follow your output format requirements and achieve accuracy levels that prompting alone cannot reach. This guide covers the three dominant fine-tuning techniques in 2026 - LoRA, RLHF and DPO - with practical guidance on when to use each, how to […]
AI Copilots for Enterprise Guide: From Architecture to Production
Complete guide to building enterprise AI copilots. Covers architecture, RAG implementation, guardrails, deployment patterns and cost planning with specific benchmarks.
State of Smart Contract Audits 2026: What 30+ Pharos Engagements Tell Us About Cost, Quality and Coverage
Original research on smart contract audit cost trends, bug density per 1k LOC, common vulnerability classes 2024-2026 and what audit quality actually means - drawn from 30+ Pharos engagements and tier-1 industry data.
State of Tech Due Diligence 2026: What Industry Data Tells Us About Buy-vs-Build, Architecture Risk and Vendor RFP Outcomes
Synthesis of public tech-DD data: M&A engagement cost ranges, architecture red-flag patterns, buy-vs-build decision outcomes, vendor RFP scoring effectiveness - drawn from ISO/IEC 25010, IEEE 29148, TOGAF, McKinsey, Gartner and named industry cohort.
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