About

Professional Background

With 16 years in technology and hands-on AI/ML experience since 2016, I currently lead AI platform development at simpleclub. I focus on building production AI systems that deliver practical business value while navigating enterprise compliance requirements.

Career Journey

AI Platform Leadership (2024-Present)

Team Leader AI Platform - simpleclub

Founded and lead the AI Platform team, establishing comprehensive AI strategy and development practices. Built 5 production AI-powered features for both external and internal use. Designed platform architecture with GDPR compliance considerations and drove AI adoption across the engineering organization.

Mobile Leadership (2020-2024)

Technical Lead - simpleclub (2022-2024)

Led Flutter mobile development team and technical direction. Increased system reliability (reduced crashes 21%) and code quality (0→52% test coverage). Managed team expansion and hiring while building the technical foundation that later supported AI initiatives.

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

Led mobile team for Flavia diabetes management app, a certified medical product. Assembled engineering team from concept to market launch in Germany. Established development workflow, planning, and release pipeline processes.

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 Expertise Evolution

Current Focus: LLMs, MLOps, AI Platforms, GDPR compliance
Mobile Leadership: Flutter, iOS (Swift, Objective-C), Android development
Backend & AI: Python, TensorFlow, Keras, CoreML
Infrastructure: Google Cloud, Firebase, CI/CD pipelines
Quality & Security: Automated testing, OWASP security audits

AI implementation requires more than technical knowledge—it demands understanding of team dynamics, business alignment, compliance requirements, and operational realities. My goal is to bridge the gap between AI capabilities and business outcomes through practical, hands-on experience.

Having built systems that run in production, led teams through AI adoption, and established enterprise AI platforms, I focus on sharing what actually works rather than theoretical approaches.