Igor Nesterenko
Igor Nesterenko is a Bristol-based systems analyst and IT delivery manager with more than eight years delivering software across e-commerce, logistics, SaaS, CRM and ERP. He works at the intersection of delivery management and applied AI research — from machine-learning methods for filtering malicious network data to practical studies of AI-assisted software development and retrieval-augmented generation (RAG).
Overview
Igor bridges the gap between what a business needs and what an engineering team ships. His work spans requirements analysis, systems design, and the day-to-day discipline of delivery — scoping, integration, and getting complex software over the line across a range of industries. Much of that has been in environments where the hard part is not the code but the judgement: deciding what to build, what to verify, and who answers for the result.
He is the UK point of contact for Qorym, an AI-assisted delivery practice, collaborates with Secureware on security audits and ERP integration, and founded Salience, an agency focused on generative engine optimisation (GEO) and answer-engine visibility. He writes the Opinion & Analysis essays on this site, where the throughline is a practical one: AI is most useful when a human still owns the verification.
Research & applied AI
Alongside delivery work, Igor pursues hands-on research in applied machine learning and AI engineering, currently while completing a part-time MSc in Ethical Hacking and Cybersecurity at Abertay University. Three strands run through it:
- Machine learning for network security. Research into ML approaches for detecting and filtering malicious data in network traffic — anomaly and intrusion detection that separates hostile patterns from ordinary noise, with an emphasis on methods that hold up outside the training set.
- AI-assisted software development. Practical study of how AI coding tools actually change delivery — where they genuinely accelerate work, and where they shift effort from writing code to verifying it, so teams can adopt them without quietly importing risk.
- Retrieval-augmented generation (RAG). Building RAG systems that ground large-language-model output in verified sources, so answers can be traced back to evidence rather than taken on trust — the engineering counterpart to the critical-thinking themes of this site.
Selected focus areas
Background
Igor is based in Bristol and works across the UK and Europe. He holds a qualification in IT systems analysis and design from University of Oxford. Now Igor is completing Master's degree in Ethical Hacking and Cybersecurity at Abertay University, and volunteers his technical skills on community and sustainability projects. His name is also transliterated Ihor Nesterenko. Full professional history, project portfolio, and CV are available on his personal website.