About

Professional Background

With 16 years in technology, 8 years total in AI/ML and the last 3 years leading AI initiatives, I currently lead the AI Platform team at simpleclub. I focus on building production AI systems and helping technical teams adopt AI tools and practices effectively.

Career Journey

AI Platform Leadership (2024-Present)

Team Leader AI Platform - simpleclub

AI Platform Development: Built the AI Platform team from scratch and established AI development practices for the organization. Led development of 5 production AI systems that generate measurable business impact. Created GDPR-compliant AI frameworks and helped drive AI adoption across engineering teams in 3 departments.

Mobile Leadership (2020-2024)

Technical Lead - simpleclub (2022-2024)

Mobile Technical Leadership: Led Flutter mobile development for a platform serving 1M+ monthly active users. Defined mobile architecture and technical decisions that guided product development. Built hiring processes and technical standards that improved team onboarding. Established the technical foundation that later supported AI platform initiatives.

Flutter Team Lead - Glooko/xbird (2020-2022)

Medical Device Development: Led mobile engineering for Flavia diabetes management app, a certified medical device launched in the German market. Built and managed the mobile engineering team from concept through regulatory approval to market deployment. Established development workflows and processes for medical device software development.

iOS Development & AI/ML Innovation (2016-2020)

Senior iOS Engineer - xbird (2019-2020)

Developed Automated Activity Detection iOS SDK using sensor data. Migrated Objective-C SDK to Swift, increased test coverage by 25%.

Independent AI/ML Projects (2018-2021)

Developed AI-powered applications: AutoWorkout (fitness AI with 92% F1 score classifier using Apple Watch sensors) and I Have Voice (eye-tracking accessibility app using ARKit and ML text prediction).

iOS Developer - Garmin (2016-2019)

Developed native/hybrid iOS companion apps with Bluetooth/BLE integration. Reduced app crashes by 21%, increased test coverage from 0% to 52%. Designed company-wide mobile app localization workflow and automated testing pipeline.

Quality Engineering & Team Leadership (2009-2016)

Software Engineer in Test - Garmin (2012-2016)

Test infrastructure and automation for automotive navigation solutions. Designed automated deployment workflow and performance testing framework.

Team Lead - EPAM Systems (2010-2012)

Led team of 10 QA engineers for high-scale web applications. Hired 6 QA engineers, participated in 3 pre-sales activities as quality stakeholder.

Co-Founder QA Dnipro Community (2010-2012)

Organized meetups and first software testing conference in Dnipropetrovsk.

Software Testing Engineer - Proxistep (2009-2010)

Solo test engineer for insurance domain web applications. Formalized testing activities company-wide.

Technical Leadership Experience

AI Platform Development: Building production AI systems, GDPR-compliant architectures, and AI development standards
Team Leadership: Building technical teams from scratch, establishing hiring processes, and mentoring engineers
Mobile Architecture: Leading mobile development for platforms serving millions of users with quality and reliability focus
Quality Engineering: 16 years of experience in testing, automation, and building reliable software systems
Cross-Industry Experience: Healthcare compliance, EdTech platforms, consumer electronics, and automotive systems

Building AI systems in production teaches you lessons that theory alone cannot provide. Technical leadership in AI requires understanding not just the technology, but how teams adopt it, how to measure its impact, and how to build it reliably.

I share practical insights from leading AI platform development, building technical teams, and implementing AI systems that serve real users. My focus is on what actually works in practice rather than what sounds good in presentations.