ABOUT · KYRYLO KALUGIN · HE/HIM

Engineering & Technology Delivery Leader

MSc Computer Science, Software Engineering · National Aviation University, Kyiv

People leadership · Technical programme delivery · Current hands-on engineering

I lead enterprise technology delivery across regulated financial technology, people management, programme governance, production operations, and current product engineering. My work connects business, delivery, and technology—from investment and architecture decisions through execution and stable production.

Largest organisation led: 108 FTE
Peak delivery portfolio: 28 projects
Projects recovered: 17 of 18
Current production engineering: 20–30 h/wk

Explore my work experience View CV

Professional perspectives

Leadership grounded in engineering and delivery

Technical Programme Management Software & Technology Delivery Engineering Leadership

Technical Programme Management

Lead complex software programmes through uncertainty, dependencies, governance, executive decisions, and stable production.

28 projects — peak LSEG portfolio
17 of 18 — RED projects moved to GREEN
GBP 9M — peak LSEG annual portfolio budget
~80% — recurring reporting effort reduced

At LSEG, led recovery plans that moved 17 of 18 RED-status projects to GREEN by redesigning governance, clarifying ownership and dependencies, identifying risks earlier, and establishing a common delivery cadence.

At LSEG, reduced production incidents from approximately weekly before migration completion to two over the following six months through quality gates, release controls, observability, and clearer ownership.

At LSEG, built a TypeScript/JavaScript delivery-intelligence platform that consolidated budget, resource, risk, and delivery data from APIs and Clarity PPM exports into automated dashboards, reducing recurring manual reporting effort by approximately 80%.

At Deutsche Bank, led a technology programme of up to 108 FTE across seven projects, with an annual engagement budget of approximately GBP 4.5M, including 26 first-line HR reports and additional teams managed through Project Managers and Engineering Leads.

Explore Technical Programme Management

Software & Technology Delivery

Connect technology decisions, delivery execution, quality practices, and production operations across complex software systems.

Cloud and data-platform migration
Current Narysy production engineering
16 FTE — Citibank delivery team
Java/Spring · Python · TypeScript/JavaScript

At Refinitiv, led technical and delivery trade-offs from synchronous SOAP/REST integrations toward asynchronous AWS messaging and event-driven patterns, improving decoupling and release independence.

At Narysy, evolved NWH into the core platform for stock, ordering, EDI, tax-reporting, and management workflows, supporting lean operations and business continuity through prolonged disruption, the COVID-19 pandemic, and wartime conditions.

Explore Software & Technology Delivery

Engineering Leadership

Develop capable teams, clarify accountability, and create the conditions for dependable engineering delivery.

108 FTE — Deutsche Bank programme organisation
26 — first-line HR reports
10-FTE Scrum team + separate 7-FTE PM/PgM unit
People management through 2025

At Refinitiv, formally managed a 10-FTE Scrum team and separately served as Resource Manager for a 7-FTE unit of Project Managers and Programme Managers.

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Fluency in AI-Native Software Development

Engineering leadership in an AI-accelerated SDLC

AI can make implementation dramatically faster. It does not remove the need for engineering judgment — it makes clear requirements, architecture, delivery boundaries, and quality gates more important.

My experience spans the full software-delivery chain: business analysis, hands-on development, engineering quality, program and financial governance, and product and stakeholder collaboration. That breadth helps me translate business goals into requirements engineers can implement, structure delivery into verifiable stages, establish appropriate quality gates, and communicate technical trade-offs in business terms. In AI-assisted and agentic development environments, I see this end-to-end perspective as increasingly important: faster code generation only creates value when the problem, constraints, validation, and production ownership are equally clear.

My Core Principles

Clarity and transparency

Make ownership, decisions, risks, and trade-offs legible to the people who need to act on them.

Disciplined execution

Turn intent into sequenced work, accountable milestones, and dependable operational follow-through.

Accountable ownership

Own the outcome from problem framing and technical choices through release and production learning.

Evidence with context

Use measures to explain what changed, for whom, and under which constraints—not as decoration.

Thoughtful collaboration

Bring engineering, product, operations, and stakeholders to decisions with clear roles and respect.

Continuous improvement

Strengthen systems, teams, and delivery practices through feedback, review, and practical learning.

Selected evidence

Featured case studies

EPAM Systems — Client: LSEG

Portfolio recovery through clearer delivery governance

Context: A market-data migration expanded into a portfolio with multiple stakeholder groups and delivery dependencies.

Responsibility: Led the delivery-governance response, making owners, decisions, risks, and escalation paths explicit.

Action: Redesigned governance, removed blockers, established a common cadence, and used concise evidence for executive realignment.

Outcome: 17 of 18 RED-status projects moved to GREEN.

View related perspective

Narysy LLC

Business systems that support continuity

Context: An established Ukrainian distributor requires dependable stock, ordering, integration, reporting, and automation workflows.

Responsibility: Own technology and product engineering for the NWH platform.

Action: Evolved the platform across ERP workflows, APIs, EDI, tax reporting, analytics, security, CI/CD, and production operations.

Outcome: Supports lean operations and business continuity through prolonged disruption, COVID-19, and wartime conditions.

View related perspective

Current engineering

Product engineering and live systems

NWH — Narysy Warehouse Platform

Business-critical ERP, integration, analytics, and automation platform supporting Narysy's distribution operations and retail network.

View project

RaceMetrica

Independent real-time athlete timing, tracking, and event-analytics platform piloted with limited access at more than ten live events.

View project

Beyond work

Leadership beyond work

The same habits that support effective engineering leadership—learning, mentoring, disciplined practice, and sustainable performance—also shape my work outside formal roles.

Technical speaking and community practice

I share practical technical knowledge and build communities that help people develop beyond their immediate delivery work.

Presented technical sessions on high-traffic web-platform optimisation at OSCE-sponsored community events, covering NGINX reverse-proxy architecture, Java web-platform performance, and WordPress at scale.
Co-designed a company-wide Communities of Practice framework through the Luxoft High Performers Club.
Founded and led an EPAM employee running community, organising training and preparing colleagues for competitive events.

Sports achievements and coaching

Endurance sport and coaching reinforce the leadership habits I use at work: long-term planning, objective measurement, regular feedback, resilience under pressure, and sustainable development.

Placed third in the 2025 Turkish National Triathlon Cup and am a licensed competitive triathlete and Ironman 70.3 finisher.
Certified World Triathlon Community Coach, leading youth triathlon through structured goals, individual development plans, safety, feedback, and progressive performance improvement.
Built and operate RaceMetrica, a real-time athlete timing, tracking, and event-analytics platform used at live events.

Education and qualifications

My formal background combines computer science, delivery leadership, cloud foundations, and current AI learning.

MSc, Computer Science, Software Engineering — National Aviation University, Kyiv, Ukraine (2002–2004).
BSc, Computer Science, Software Engineering — National Aviation University, Kyiv, Ukraine (1998–2002).
Databricks Academy Accreditation in Generative AI Fundamentals; Microsoft Certified: Azure Fundamentals; PMI-ACP®; World Triathlon Community Coach.
PMP® and AWS Certified Solutions Architect – Associate expired in 2025; PMI-CPMAI™ examination is scheduled for September 2026.

Languages and international work

I have worked across international teams and communicate comfortably with technical, business, and operational stakeholders.

English — fluent/full professional proficiency; IELTS 8.0 (2021) and Cambridge Certificate in Advanced English (CAE, 2001).
Ukrainian — native; Russian — fluent; German — elementary; Turkish — limited working proficiency.